Automatic Defect Detection and Classification Technique from Image Processing

Main Article Content

Prof. R. R. Karhe, Mr. Nilesh N. Nagare

Abstract

Image processing is one of the most increasing areas in computer science. As technology advances, the analog imaging is switched to the digital system. Every day, we capture huge amount of images which are very difficult to maintain manually within a certain period of time. So the concept and application of the digital imaging grows rapidly. Digital image processing[7] is used to extract various features from images. This is done by computers automatically without or with little human intervention. One of the most important operations on digital image[2] is to identify and classify various kinds of defects. Thus to detect the defects from any image some methods are developed. In this paper a defect detection method for ceramic tiles is proposed. The proposed method is tested for images with resolution 1920×1080 pixels. The method has tested only for defects such as blobs and cracks.

Article Details

How to Cite
, P. R. R. K. M. N. N. N. “Automatic Defect Detection and Classification Technique from Image Processing”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 1, Jan. 2018, pp. 136 -, doi:10.17762/ijritcc.v6i1.1394.
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Articles