Registry
Module Specifications
Archived Version 2014 - 2015
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Description Most people are familiar with the concept of processing an image to improve its quality or the use of image analysis software tools to make basic measurements; but what are the ideas behind such solutions and why is knowledge of these concepts important in developing successful computer vision applications? This module will answer these questions by focusing on the practical issues associated with a wide range of computer vision solutions. Such solutions relate to the fields of image processing & analysis, industrial/machine vision, video data processing, biomedical engineering, imaging science, sensor technology, multimedia and enhanced reality systems. This module will concentrate on developing the fundamentals necessary to design, develop and understand a wide range of basic imaging processing (image to image), image analysis (image to feature), image classification (feature to decision), performance characterisation (data to quantitative performance indicators) solutions. All solutions have limitations and a key element of this module is to focus on how to approach the design, testing and evaluation of successful computer vision applications within an engineering framework. This module will make extensive use of an image analysis development environment to reinforce all the issues covered during the lectures. | |||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Recall, review and analyse the essential theories, algorithms, methodologies and techniques involved in image processing & analysis 2. Illustrate their ability to comprehend and interpret issues relating to the design of image processing & analysis techniques. 3. Synthesize and evaluate the relevant merits of competing image processing & analysis techniques. 4. Apply computer vision techniques in a range of application scenarios. | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities Introduction, Tutorial on course toolsImage RepresentationFile Formats, Point Operations, Neighbourhood Operations, Distance transformFeature Extraction, Image Analysis, Local OperatorsImage Classification (1)Global Image transformsGeometric, Hough, DFT, DCTMathematical Morphology (1)Binary and Grey ScaleColour Image Processing & Analysis (1)Texture Analysis (1)Interest Point DetectionImage AcquisitionOptics, Lighting and SensorsSystems EngineeringPerformance AnalysisCase StudiesEthical IssuesSample Problems & Review | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 18, Module Website, Paul F Whelan, 2010, EE425 & EE453, http://elm.eeng.dcu.ie/~whelanp/ipa/protected_material/ipa_notes.html, 19, Module Software, Paul F Whelan, 2010, NVSG Image Processing & Analysis Toolbox (VSG IPA TOOLBOX), http://www.cipa.dcu.ie/code.html, 20, Websites, 0, Online Image Processing References, | |||||||||||||||||||||||||||||||||||||||||
Programme or List of Programmes | |||||||||||||||||||||||||||||||||||||||||
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