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Mechanical Part Surface Defect Detection using Crack Extraction Approach

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 18
Year of Publication: 2014
Authors:
Priyanka Khandelwal
Pankaj Kumar Gautam
10.5120/17624-8383

Priyanka Khandelwal and Pankaj Kumar Gautam. Article: Mechanical Part Surface Defect Detection using Crack Extraction Approach. International Journal of Computer Applications 100(18):13-17, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Priyanka Khandelwal and Pankaj Kumar Gautam},
	title = {Article: Mechanical Part Surface Defect Detection using Crack Extraction Approach},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {18},
	pages = {13-17},
	month = {August},
	note = {Full text available}
}

Abstract

Visual inspection constitutes an important part of quality control in manufacturing industry. The detection of defects on mechanical part surfaces is an important quality control step in the manufacturing of machine products. In this paper, we have introduced a new approach to detect surface defects with varied size, shape in mechanical parts through the use of image processing techniques. First, we apply image edge detection techniques for extracting the edges in an image by identifying pixels where intensity variation is high. Then, for extracting actual defects we reduce gray scale edge information to binary defect information using thresholding. A threshold process will generate a certain amount of noise. So, this noise will removed by a noise filtering technique using the connected component's eccentricity property. Then, based on the highlighted edges, the defect itself should become identifiable by filling the gap between two corresponding edges by comparing gray scale values. The Experimental results show that the proposed method is suitable for extracting the various defects of varying shapes and size in images.

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