Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41789
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maziana, Mamat | - |
dc.date.accessioned | 2016-06-01T01:34:23Z | - |
dc.date.available | 2016-06-01T01:34:23Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41789 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Detection 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.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Detection | en_US |
dc.subject | Machine vision technique | en_US |
dc.subject | Defect detection | en_US |
dc.title | Defect detection based on machine vision technique | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr. Muhammad Imran Bin Ahmad | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
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Abstract,Acknowledgement.pdf | 355.59 kB | Adobe PDF | View/Open | |
Introduction.pdf | 287.01 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 830.99 kB | Adobe PDF | View/Open | |
Methodology.pdf | 646.36 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 343.32 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 184.08 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 184.08 kB | Adobe PDF | View/Open |
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