Detection of Defects in Glass Sheet using C. S. C based Segmentation Method
Author(s) -
Tribhuwan Singh,
Rajeshwar Lal Dua,
Sunil Agrawal,
Abhishek Acharya
Publication year - 2013
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/11650-7152
Subject(s) - computer science , segmentation , artificial intelligence , pattern recognition (psychology)
Manual detection of defects in large size glass sheets is an extremely tedious process. The manual inspection is a slow process, time consuming and prone to human error and gives wretched quality glass sheet. It is a major reason of abashment for manufacturers. Thus automatic inspection offer manufacturers an opportunity to improve quality and reduce cost and overcome many disadvantages. In this paper author suggest C.S.C based Segmentation for defect detection in glass sheet. These defect include Line, Edge and Scratch etc. The above proposed scheme is based on Subjective scale Analysis. Further Conversion Time Analysis is also used. For absolute Visibility of defect in Glass sheet C.S.C is useful tool. The proposed Segmentation method is Splendid approach to avoid false Edge detection.
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