Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41789
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dc.contributor.authorMaziana, Mamat-
dc.date.accessioned2016-06-01T01:34:23Z-
dc.date.available2016-06-01T01:34:23Z-
dc.date.issued2015-06-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41789-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractDetection of defects has got the attention of many researchers in recent years. Researchers also believe that in order to reduce the defect of a product or to use a more effective. Various studies have been conducted as defects such as Defect detection of bearing surfaces based on machine vision technique, Defect detection of apple and defect detection of eggs. Many method can be used in defect detection project such as scanning and image pre processing. Defect is Non-conformance of a product with the specified requirements, or non-fulfilment of user expectations . This is a method by which we try to create to solve problems in a more orderly. Develop this project using features extraction and image processing.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectDetectionen_US
dc.subjectMachine vision techniqueen_US
dc.subjectDefect detectionen_US
dc.titleDefect detection based on machine vision techniqueen_US
dc.typeLearning Objecten_US
dc.contributor.advisorDr. Muhammad Imran Bin Ahmaden_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf355.59 kBAdobe PDFView/Open
Introduction.pdf287.01 kBAdobe PDFView/Open
Literature Review.pdf830.99 kBAdobe PDFView/Open
Methodology.pdf646.36 kBAdobe PDFView/Open
Results and Discussion.pdf343.32 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf184.08 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf184.08 kBAdobe PDFView/Open


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