Crack Detection and Classification Based on New Edge Detection Method
نویسنده
چکیده
A methodology for the detection and removal of cracks on digitized paintings. The objective of this research is to develop an automatic crack detection system. The algorithm is composed of two parts; image processing and image classification. In the first step, cracks are distinguished from background image easily using the filtering, the improved subtraction method, and the morphological operation. The particular data such as the number of pixel and the ratio of the major axis to minor axis for connected pixels area are also extracted. In the second step, the existence of cracks are identified. Edge detection is used to automate the image classification.The recognition rate of the crack image was 90% and non-crack image was 92%. This method is useful for nonexpert inspectors, enabling them to perform crack monitoring tasks effectively.
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