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 |