Metal surface defect detection using iterative thresholding technique
作者： M. Senthikumar , V. Palanisamy , J. Jaya
DOI: 10.1109/ICCTET.2014.6966360
关键词:
摘要: Recently, surface defects detection in metals plays a significant role computer vision applications. An efficient and accurate defect approach is implemented this paper. The on metal achieved by iterative thresholding technique images. region such as crack shrinkage of the image detected binarization using technique. experimental results are carried out real time images satisfactory performance proposed
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