Title :
A robust crack detection method for non-uniform distributions of coloured and textured image
Author :
Nashat, S. ; Abdullah, A. ; Abdullah, M.Z.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia
Abstract :
A robust automatic crack detection method for nonuniform colour distributions on texture images is proposed. In this method a new image segmentation technique is developed while the Hough transform is used for feature extraction. Meanwhile, the detection is based on standard discriminant analysis, featuring Wilk´s λ selection criteria. The methods and procedures were tested on commercial biscuit crackers, resulting in the specificity and sensitivity of more than 98% and 88%, respectively. Since the algorithm is implemented in software, the system could be programmed to inspect other manufactured products.
Keywords :
Hough transforms; feature extraction; food processing industry; food products; image colour analysis; image segmentation; image texture; object detection; production engineering computing; Hough transform; Wilk λ selection criteria; coloured image; commercial biscuit crackers; feature extraction; image segmentation technique; nonuniform colour distributions; robust automatic crack detection method; standard discriminant analysis; textured image; Feature extraction; Image color analysis; Image segmentation; Machine vision; Pixel; Training; Transforms; Crack detection; Hough transform; Wilk´s λ analysis; discriminant analysis; image enhancement; image segmentation; machine vision system;
Conference_Titel :
Imaging Systems and Techniques (IST), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-894-5
DOI :
10.1109/IST.2011.5962232
