126 In-Depth Image processing Questions for Professionals

What is involved in Image processing

Find out what the related areas are that Image processing connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Image processing thinking-frame.

How far is your company on its Image processing journey?

Take this short survey to gauge your organization’s progress toward Image processing leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Image processing related domains to cover and 126 essential critical questions to check off in that domain.

The following domains are covered:

Image processing, Partial differential equations, Homomorphic filtering, Space Foundation, Principal components analysis, Nyquist rate, Computer graphics, Starred transform, Multi-scale signal analysis, Bilinear transform, Matched Z-transform method, Nyquist frequency, Discrete signal, IEEE Intelligent Transportation Systems Society, Detection theory, Nyquist–Shannon sampling theorem, Affine transformations, Laplace transform, Digital imaging, Image editing, Anisotropic diffusion, Statistical classification, Audio signal processing, Estimation theory, Satellite imagery, Statistical signal processing, Image file formats, Computer vision, Graphical projection, Image sensor, Anti-aliasing filter, Analog image processing, Image analysis, Artificial neural networks, Identity operation, Pattern recognition, Standard test image, Image restoration, Sampling rate, Advanced Z-transform, Impulse invariance, Character recognition, Digital image processing, Digital image, Digital signal processing, Constant-Q transform, Hidden Markov model, Feature extraction, Post’s inversion formula, Discrete-time Fourier transform, Television standards conversion, Integral transform, Springer Science+Business Media, Image processing, Speech processing, Independent component analysis, Discrete Fourier transform, Linear filter, Self-organizing map, Edge detection, Fast Fourier transform:

Image processing Critical Criteria:

Steer Image processing decisions and stake your claim.

– How do we ensure that implementations of Image processing products are done in a way that ensures safety?

– How likely is the current Image processing plan to come in on schedule or on budget?

– How do we know that any Image processing analysis is complete and comprehensive?

Partial differential equations Critical Criteria:

Interpolate Partial differential equations quality and suggest using storytelling to create more compelling Partial differential equations projects.

– Think about the people you identified for your Image processing project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

– Do we all define Image processing in the same way?

– Are there recognized Image processing problems?

Homomorphic filtering Critical Criteria:

Adapt Homomorphic filtering risks and forecast involvement of future Homomorphic filtering projects in development.

– What are the key elements of your Image processing performance improvement system, including your evaluation, organizational learning, and innovation processes?

– Will Image processing have an impact on current business continuity, disaster recovery processes and/or infrastructure?

Space Foundation Critical Criteria:

Guide Space Foundation outcomes and differentiate in coordinating Space Foundation.

– What are your key performance measures or indicators and in-process measures for the control and improvement of your Image processing processes?

– What sources do you use to gather information for a Image processing study?

– What are the short and long-term Image processing goals?

Principal components analysis Critical Criteria:

Guard Principal components analysis adoptions and assess and formulate effective operational and Principal components analysis strategies.

– Can we do Image processing without complex (expensive) analysis?

– What are our Image processing Processes?

Nyquist rate Critical Criteria:

Look at Nyquist rate governance and explore and align the progress in Nyquist rate.

– What are specific Image processing Rules to follow?

– How to deal with Image processing Changes?

– How do we keep improving Image processing?

Computer graphics Critical Criteria:

Examine Computer graphics outcomes and triple focus on important concepts of Computer graphics relationship management.

– How will you know that the Image processing project has been successful?

– Is the scope of Image processing defined?

Starred transform Critical Criteria:

Check Starred transform management and forecast involvement of future Starred transform projects in development.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Image processing models, tools and techniques are necessary?

– What new services of functionality will be implemented next with Image processing ?

Multi-scale signal analysis Critical Criteria:

Win new insights about Multi-scale signal analysis planning and revise understanding of Multi-scale signal analysis architectures.

– Think about the kind of project structure that would be appropriate for your Image processing project. should it be formal and complex, or can it be less formal and relatively simple?

– Does Image processing create potential expectations in other areas that need to be recognized and considered?

– What is the purpose of Image processing in relation to the mission?

Bilinear transform Critical Criteria:

Prioritize Bilinear transform engagements and define what do we need to start doing with Bilinear transform.

– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Image processing in a volatile global economy?

Matched Z-transform method Critical Criteria:

Investigate Matched Z-transform method quality and stake your claim.

– How do you determine the key elements that affect Image processing workforce satisfaction? how are these elements determined for different workforce groups and segments?

Nyquist frequency Critical Criteria:

Map Nyquist frequency issues and get the big picture.

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Image processing?

– What prevents me from making the changes I know will make me a more effective Image processing leader?

– Have you identified your Image processing key performance indicators?

Discrete signal Critical Criteria:

Familiarize yourself with Discrete signal planning and overcome Discrete signal skills and management ineffectiveness.

– Think about the functions involved in your Image processing project. what processes flow from these functions?

– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Image processing?

– Does Image processing analysis isolate the fundamental causes of problems?

IEEE Intelligent Transportation Systems Society Critical Criteria:

Group IEEE Intelligent Transportation Systems Society failures and devote time assessing IEEE Intelligent Transportation Systems Society and its risk.

– Do the Image processing decisions we make today help people and the planet tomorrow?

– Is there any existing Image processing governance structure?

– Have all basic functions of Image processing been defined?

Detection theory Critical Criteria:

Think about Detection theory engagements and spearhead techniques for implementing Detection theory.

– Where do ideas that reach policy makers and planners as proposals for Image processing strengthening and reform actually originate?

– Do those selected for the Image processing team have a good general understanding of what Image processing is all about?

– Who will be responsible for deciding whether Image processing goes ahead or not after the initial investigations?

Nyquist–Shannon sampling theorem Critical Criteria:

Audit Nyquist–Shannon sampling theorem engagements and find out.

– Are we making progress? and are we making progress as Image processing leaders?

– What are the usability implications of Image processing actions?

– Are there Image processing Models?

Affine transformations Critical Criteria:

Illustrate Affine transformations projects and give examples utilizing a core of simple Affine transformations skills.

– Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a Image processing process. ask yourself: are the records needed as inputs to the Image processing process available?

– What are the top 3 things at the forefront of our Image processing agendas for the next 3 years?

– What other jobs or tasks affect the performance of the steps in the Image processing process?

Laplace transform Critical Criteria:

Rank Laplace transform adoptions and budget for Laplace transform challenges.

– How is the value delivered by Image processing being measured?

– What will drive Image processing change?

Digital imaging Critical Criteria:

Track Digital imaging results and look in other fields.

– How do we Identify specific Image processing investment and emerging trends?

– How do we Lead with Image processing in Mind?

Image editing Critical Criteria:

Depict Image editing projects and gather Image editing models .

– How can we incorporate support to ensure safe and effective use of Image processing into the services that we provide?

– Is the Image processing organization completing tasks effectively and efficiently?

– What are the long-term Image processing goals?

Anisotropic diffusion Critical Criteria:

Have a session on Anisotropic diffusion tasks and look at it backwards.

– What are our needs in relation to Image processing skills, labor, equipment, and markets?

Statistical classification Critical Criteria:

Learn from Statistical classification strategies and develop and take control of the Statistical classification initiative.

– Is Image processing Realistic, or are you setting yourself up for failure?

Audio signal processing Critical Criteria:

Illustrate Audio signal processing strategies and prioritize challenges of Audio signal processing.

– What tools and technologies are needed for a custom Image processing project?

– How do we maintain Image processings Integrity?

Estimation theory Critical Criteria:

Nurse Estimation theory management and intervene in Estimation theory processes and leadership.

– How do mission and objectives affect the Image processing processes of our organization?

Satellite imagery Critical Criteria:

Track Satellite imagery results and grade techniques for implementing Satellite imagery controls.

– Who will be responsible for making the decisions to include or exclude requested changes once Image processing is underway?

– How can you negotiate Image processing successfully with a stubborn boss, an irate client, or a deceitful coworker?

Statistical signal processing Critical Criteria:

Pilot Statistical signal processing outcomes and shift your focus.

– How do we Improve Image processing service perception, and satisfaction?

– What about Image processing Analysis of results?

Image file formats Critical Criteria:

Collaborate on Image file formats governance and optimize Image file formats leadership as a key to advancement.

– Are there any easy-to-implement alternatives to Image processing? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

– Can we add value to the current Image processing decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

Computer vision Critical Criteria:

Distinguish Computer vision issues and create Computer vision explanations for all managers.

Graphical projection Critical Criteria:

Experiment with Graphical projection tasks and summarize a clear Graphical projection focus.

– What tools do you use once you have decided on a Image processing strategy and more importantly how do you choose?

– Who is the main stakeholder, with ultimate responsibility for driving Image processing forward?

– Which Image processing goals are the most important?

Image sensor Critical Criteria:

Revitalize Image sensor strategies and correct better engagement with Image sensor results.

– What are the disruptive Image processing technologies that enable our organization to radically change our business processes?

– How do we measure improved Image processing service perception, and satisfaction?

Anti-aliasing filter Critical Criteria:

Deliberate Anti-aliasing filter quality and budget for Anti-aliasing filter challenges.

– Can Management personnel recognize the monetary benefit of Image processing?

– Is Image processing Required?

Analog image processing Critical Criteria:

Discourse Analog image processing planning and separate what are the business goals Analog image processing is aiming to achieve.

– Do we aggressively reward and promote the people who have the biggest impact on creating excellent Image processing services/products?

Image analysis Critical Criteria:

Read up on Image analysis visions and perfect Image analysis conflict management.

– What will be the consequences to the business (financial, reputation etc) if Image processing does not go ahead or fails to deliver the objectives?

– What are the business goals Image processing is aiming to achieve?

– How can skill-level changes improve Image processing?

Artificial neural networks Critical Criteria:

Map Artificial neural networks results and explore and align the progress in Artificial neural networks.

– Which individuals, teams or departments will be involved in Image processing?

– Are assumptions made in Image processing stated explicitly?

Identity operation Critical Criteria:

Discuss Identity operation projects and optimize Identity operation leadership as a key to advancement.

Pattern recognition Critical Criteria:

Analyze Pattern recognition visions and triple focus on important concepts of Pattern recognition relationship management.

– What are your current levels and trends in key measures or indicators of Image processing product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?

– How do your measurements capture actionable Image processing information for use in exceeding your customers expectations and securing your customers engagement?

Standard test image Critical Criteria:

Match Standard test image leadership and point out improvements in Standard test image.

– Among the Image processing product and service cost to be estimated, which is considered hardest to estimate?

– Will Image processing deliverables need to be tested and, if so, by whom?

– What is our Image processing Strategy?

Image restoration Critical Criteria:

Conceptualize Image restoration quality and devise Image restoration key steps.

– Are accountability and ownership for Image processing clearly defined?

Sampling rate Critical Criteria:

Investigate Sampling rate quality and ask what if.

– How do we go about Comparing Image processing approaches/solutions?

Advanced Z-transform Critical Criteria:

Face Advanced Z-transform adoptions and describe which business rules are needed as Advanced Z-transform interface.

– What are the success criteria that will indicate that Image processing objectives have been met and the benefits delivered?

– To what extent does management recognize Image processing as a tool to increase the results?

Impulse invariance Critical Criteria:

Huddle over Impulse invariance issues and finalize the present value of growth of Impulse invariance.

– Risk factors: what are the characteristics of Image processing that make it risky?

– What are the barriers to increased Image processing production?

Character recognition Critical Criteria:

Have a round table over Character recognition tasks and handle a jump-start course to Character recognition.

Digital image processing Critical Criteria:

Coach on Digital image processing strategies and explain and analyze the challenges of Digital image processing.

Digital image Critical Criteria:

Generalize Digital image quality and stake your claim.

Digital signal processing Critical Criteria:

Huddle over Digital signal processing governance and gather practices for scaling Digital signal processing.

– Are we Assessing Image processing and Risk?

Constant-Q transform Critical Criteria:

Examine Constant-Q transform tasks and raise human resource and employment practices for Constant-Q transform.

– What are internal and external Image processing relations?

Hidden Markov model Critical Criteria:

Reconstruct Hidden Markov model outcomes and intervene in Hidden Markov model processes and leadership.

– Is a Image processing Team Work effort in place?

Feature extraction Critical Criteria:

Have a session on Feature extraction tasks and raise human resource and employment practices for Feature extraction.

– What management system can we use to leverage the Image processing experience, ideas, and concerns of the people closest to the work to be done?

– How do we go about Securing Image processing?

Post’s inversion formula Critical Criteria:

Collaborate on Post’s inversion formula issues and research ways can we become the Post’s inversion formula company that would put us out of business.

Discrete-time Fourier transform Critical Criteria:

Illustrate Discrete-time Fourier transform results and figure out ways to motivate other Discrete-time Fourier transform users.

– In what ways are Image processing vendors and us interacting to ensure safe and effective use?

Television standards conversion Critical Criteria:

Unify Television standards conversion tasks and work towards be a leading Television standards conversion expert.

– How do we manage Image processing Knowledge Management (KM)?

Integral transform Critical Criteria:

Incorporate Integral transform management and balance specific methods for improving Integral transform results.

Springer Science+Business Media Critical Criteria:

Recall Springer Science+Business Media governance and explain and analyze the challenges of Springer Science+Business Media.

Image processing Critical Criteria:

Jump start Image processing quality and intervene in Image processing processes and leadership.

– Do Image processing rules make a reasonable demand on a users capabilities?

Speech processing Critical Criteria:

Extrapolate Speech processing projects and integrate design thinking in Speech processing innovation.

– How important is Image processing to the user organizations mission?

Independent component analysis Critical Criteria:

Survey Independent component analysis management and test out new things.

– Does the Image processing task fit the clients priorities?

Discrete Fourier transform Critical Criteria:

Recall Discrete Fourier transform leadership and oversee Discrete Fourier transform management by competencies.

– In a project to restructure Image processing outcomes, which stakeholders would you involve?

– Is Supporting Image processing documentation required?

Linear filter Critical Criteria:

Adapt Linear filter adoptions and report on developing an effective Linear filter strategy.

– Does Image processing appropriately measure and monitor risk?

Self-organizing map Critical Criteria:

Analyze Self-organizing map goals and correct Self-organizing map management by competencies.

– What vendors make products that address the Image processing needs?

Edge detection Critical Criteria:

Focus on Edge detection planning and diversify disclosure of information – dealing with confidential Edge detection information.

– Does Image processing systematically track and analyze outcomes for accountability and quality improvement?

– Do several people in different organizational units assist with the Image processing process?

Fast Fourier transform Critical Criteria:

Steer Fast Fourier transform projects and display thorough understanding of the Fast Fourier transform process.

– What are all of our Image processing domains and what do they do?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Image processing Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | http://theartofservice.com



Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Image processing External links:

Image Processing Toolbox – MATLAB – MathWorks

Project titles on Image Processing – VTUFORUM

Skycatch: Drone Image Processing Platform

Partial differential equations External links:


[PDF]Partial Differential Equations – Department of …

Partial Differential Equations – American Mathematical …

Homomorphic filtering External links:

Butterworth equations for homomorphic filtering of …

Homomorphic filtering – File Exchange – MATLAB …


Space Foundation External links:

Walnut Creek Open Space Foundation

Membership | Space Foundation

Space Foundation – Official Site

Principal components analysis External links:

Lesson 11: Principal Components Analysis (PCA) | …

[PDF]A tutorial on Principal Components Analysis

[PDF]Principal Components Analysis: A How-To Manual …

Computer graphics External links:

BCG – DisasterLAN (DLAN) | Buffalo Computer Graphics

MHS Computer Graphics – Home

GMDSS Simulation | Buffalo Computer Graphics

Bilinear transform External links:

The Bilinear Transform – University of New Hampshire

The Bilinear Transform – CCRMA

Bilinear Transform Design Method for IIR Filters – Iowa …

Matched Z-transform method External links:

Matched Z-transform method – WOW.com

“Matched Z-transform method” on Revolvy.com
https://www.revolvy.com/topic/Matched Z-transform method

About: Matched Z-transform method – DBpedia

Nyquist frequency External links:

Nyquist frequency from image – MATLAB Answers – …

What does Nyquist frequency mean? definition, …

What is “Nyquist Frequency – inSync”?

Discrete signal External links:

EE480/680: Discrete Signal Processing


TE Connectivity – 202236-2 – Discrete Signal Copper …

Detection theory External links:

Describe signal detection theory – Brainly.com

type 2 signal detection theory analysis – columbia.edu

According to the signal detection theory, the detection …

Affine transformations External links:

[PDF]Lecture 4: Affine Transformations – Rice University

Laplace transform External links:

[PDF]The Laplace Transform – Pennsylvania State …

[PDF]Application of the Laplace Transform to solve …

[PDF]The Inverse Laplace Transform – Department of …

Digital imaging External links:

medical diagnostic digital imaging equipment CT PET …

Digital Imaging – New Windsor, NY – Hudson Valley Imaging

Image editing External links:

Five Best Image Editing Tools – Lifehacker

Image Editing Software – Photo Software Downloads – …

Cutoutcow – Image Editing for eCommerce, …

Anisotropic diffusion External links:

Anisotropic Diffusion 2D – ImageJ

Anisotropic Diffusion – National Institutes of Health

Anisotropic Diffusion in Fluorescence Microscopy

Statistical classification External links:

[PDF]International Statistical Classification of Diseases …

[PDF]History of the statistical classification of diseases …

Audio signal processing External links:

[PDF]Powerful Architecture Audio Signal Processing – …

Audio Signal Processing Flashcards | Quizlet

Spectrum Analysis of Noise | Spectral Audio Signal Processing

Estimation theory External links:

[PDF]ECE 531: Detection and Estimation Theory

Estimation theory – IEEE Conferences, Publications, …

Estimation theory
http://Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured/empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements.

Satellite imagery External links:

AWC – International Satellite Imagery

Mosul destruction satellite imagery – Washington Post

Latest Satellite Imagery – National Hurricane Center

Statistical signal processing External links:

Research | Statistical Signal Processing Lab

IISc Statistical Signal Processing Lab – Home | Facebook

IEEE Statistical Signal Processing Workshop 2018 – …

Image file formats External links:

Image File Formats | GIF, JPG and PNG file formats

Image file formats Flashcards | Quizlet

Computer vision External links:

Computer vision – Microsoft Research

Computer Vision Syndrome and Digital Eye Strain

Focal Systems – Deep Learning and Computer Vision …

Graphical projection External links:

Graphical Projection | Cameras in Unity | Treehouse

Graphical projection – WOW.com

Image sensor External links:

Discover the α99 II with Back-Illuminated Full-Frame Image Sensor from Sony & explore all the Cameras features.

Buy VAVA Dash Cam with SONY Image Sensor, Car DVR for 1080p 60fps Clear HD Videos in Low Light or at Night, Wide-Angle Lens, …


Anti-aliasing filter External links:

VAF-5D2b Optical Anti-Aliasing Filter

Analog image processing External links:

Lyrics containing the term: Analog image processing
https://www.lyrics.com/lyrics/Analog image processing

Analog Image Processing Market – Research Corridor

Image analysis External links:

indico – text and image analysis powered by machine …

Examples of image analysis – Mathematics Is A Science

Image Analysis Essays – ManyEssays.com

Identity operation External links:

Identity operation financial definition of Identity operation

Identity operation legal definition of Identity operation

Pattern recognition External links:

Pattern recognition (Computer file, 2006) [WorldCat.org]

Dora’s Ballet Adventure Game: Pattern Recognition – …

Pattern recognition – Encyclopedia of Mathematics

Standard test image External links:

The Lena standard test image, full version (!) | Velmont …

MATLAB Central – Blood(512x512x8) standard test image

Consider changing standard test image size · Issue …

Image restoration External links:

Image Restoration – Colbert Custom Framing & Art …

[PDF]Image Restoration – Computer Engineering

[1703.09964] Image Restoration using Autoencoding Priors

Sampling rate External links:

Sampling rate – Hydrogenaudio Knowledgebase

AES E-Library » Sampling Rate Discrimination: 44.1 …

Sampling rate – Mass Spectrometry Terms

Advanced Z-transform External links:

Advanced Z-Transform Homework Help

Advanced Z-transform | Open Access articles | Open …

Advanced Z-transform – WOW.com

Impulse invariance External links:

[PDF]Impulse invariance transformation Bilinear …

Impulse invariance method: introduction (0000) – YouTube

[PDF]Digital Signal Processing Impulse Invariance vs. …

Character recognition External links:

Character recognition 1967. (Book, 1966) [WorldCat.org]

Optical character recognition (OCR) | Google Cloud …

Digital image processing External links:

Digital Image Processing Tutorial

Digital Image Processing – AbeBooks

Digital image processing (Book, 2017) [WorldCat.org]

Digital image External links:

Digital Image File Types Explained – WFU

Recordation and Retrieval of Plats: A Digital Image …

Master Lock® Digital Image Library

Digital signal processing External links:

ECE 538 Digital Signal Processing I – Purdue Engineering

What is digital signal processing (DSP)? – Definition …

Constant-Q transform External links:

GitHub – r9y9/ConstantQ.jl: A fast constant-q transform …

Hidden Markov model External links:

Hidden Markov Model – Everything2.com

First-Hand:The Hidden Markov Model – Engineering …

Hidden Markov model regression – conservancy.umn.edu

Feature extraction External links:

LiDAR Processing | Feature Extraction | Mapping, …

[PDF]Image Texture Feature Extraction Using GLCM …

Dimensionality Reduction and Feature Extraction – …

Post’s inversion formula External links:

Post’s inversion formula explained

Discrete-time Fourier transform External links:

From Discrete-Time Fourier Transform to Z-Transform

Television standards conversion External links:

Television standards conversion – revolvy.com
https://www.revolvy.com/topic/Television standards conversion

US3582543A – Television standards conversion – …

Integral transform External links:

Integral transform | mathematics | Britannica.com

Integral transform – Encyclopedia of Mathematics

[PDF]Chapter 2 Integral Transform – Cal Poly Pomona

Springer Science+Business Media External links:

Gregor Karolus, Springer Science+business Media …

Image processing External links:

Image Processing Toolbox – MATLAB – MathWorks

Digital image processing (Book, 2017) [WorldCat.org]

DotNet – Image Processing Project Titles|Dotnet-ieee …

Speech processing External links:

[PDF]Independence of Early Speech Processing from …

Speech Processing Lab @ Ohio University: People

Designing with Speech Processing Chips – ScienceDirect

Independent component analysis External links:

[PDF]An Independent Component Analysis Mixture …

ICA (Independent Component Analysis) in matlab – …


Discrete Fourier transform External links:

[PDF]2D Discrete Fourier Transform (DFT) – Home Page …

[PDF]Discrete Fourier Transform (DFT) – Iowa State …

[PDF]The Discrete Fourier Transform – Home | EECS

Linear filter External links:

[PDF]A certain linear filter only allows frequencies …

Recessed Linear filter page | Focal Point Lights

ECCV2014 – A Non-Linear Filter for Gyroscope-Based …

Self-organizing map External links:

Self-organizing map | hgpu.org

How is a self-organizing map implemented? | Algorithms

The self-organizing map – ScienceDirect

Edge detection External links:

DTIC ADA084233: Edge Detection in Textures. : …

[PDF]Edge Detection

Lecture 03 – Edge Detection – YouTube

Fast Fourier transform External links:

[PDF]The Fast Fourier Transform (FFT) and MATLAB …
http://www.public.iastate.edu/~e_m.350/FFT 5.pdf

fft – Help with EXCEL Fast Fourier Transform – Stack Overflow

matplotlib Fast Fourier Transform | Examples | Plotly

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