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 both the theoretical, mathematical and 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) and computer vision (image to interpretation) 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 covers during the lectures. In addition to the common elements associated with EE425, this module will contain a significant competitive group image processing & analysis project. Students will have the opportunity to develop a commercial level solution in one of two areas: biomedical or industrial computer vision. The focus of the project will be on developing engineering solutions rather than a research projects. Students will be expected to submit individual independent reports (of a fixed length) to be presented in the form of a technical paper communication. In addition to the engineering issues, the report must outline both the commercial potential and the ethical issues involved with the work. | |||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Recall, review and analyse the essential theories, algorithms, methodologies and techniques involved in computer vision. 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 computer vision techniques. 4. Apply computer vision techniques in a range of application scenarios. 5. Develop an understanding of the engineering issues involved in the commercial development of image processing and analysis solutions. 6. Illustrate the ability to place a vision engineering project in the context of both commercial and ethical realities. 7. Communicate technical and non technical issues in a group based environment. | |||||||||||||||||||||||||||||||||||||||||
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 SensorsPerformance AnalysisSystems EngineeringCase StudiesEthicsSample Problems & ReviewProject | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 1179, Module Website, Paul F Whelan, 2010, EE453 & EE425, http://elm.eeng.dcu.ie/~whelanp/ipa/protected_material/ipa_notes.html, 1180, Module Software, Paul F Whelan, 2010, VSG Image Processing & Analysis Toolbox (VSG IPA TOOLBOX), http://www.cipa.dcu.ie/code.html, 1181, Websites:, 0, Online Image Processing References, | |||||||||||||||||||||||||||||||||||||||||
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