Title :
Flaw detection in granites by image analysis
Author :
Roomi, Md Mansoor ; Revathi, B. Guru ; Irfan, R. M Rasina
Author_Institution :
Dept. of Electron. & Commun., Thiagarajar Coll. of Eng., Madurai, India
Abstract :
Image Processing has a vital role in quality analysis of objects and presumably is one of the best ways of non destructive techniques. This paper aims at detecting flaws if any in the granite blocks by analysis of their digital images. Two common defects, Crack and Mica contamination is studied. The unique characteristics of the defects are studied. To detect the mica contamination k-means segmentation algorithm is used. For crack detection, linear edge detection algorithm is applied and further processing is done to discriminate edges of cracks. Thus the algorithm categorizes the granite as defect less or defected granite. The efficiency of the algorithm has been justified subjectively with the sample images and their outputs and objectively with the parameters of the Confusion Matrix.
Keywords :
contamination; crack detection; edge detection; geophysical image processing; geotechnical engineering; image segmentation; matrix algebra; mica; nondestructive testing; rocks; confusion matrix; crack edge detection; digital image; flaw detection; granite block; image analysis; image processing; k-means segmentation algorithm; linear edge detection algorithm; mica contamination; nondestructive technique; object quality analysis; Algorithm design and analysis; Clustering algorithms; Contamination; Image edge detection; Partitioning algorithms; Pixel; Surface cracks; Confusion matrix; Cracks; K-means Segmentation; Mica Contamination; Roberts´s operator;
Conference_Titel :
Computer, Communication and Electrical Technology (ICCCET), 2011 International Conference on
Conference_Location :
Tamilnadu
Print_ISBN :
978-1-4244-9393-7
DOI :
10.1109/ICCCET.2011.5762444
