An Edge Detection of Equipment Image Based on Improved Canny Operator

WEI-FA ZHENG

Abstract


Because of the image of the equipment in the data center room may have many problems such as noise and significant influence between equipment, the research on the edge detection of equipment image is important for the research of feature extraction and target recognition. In this paper, based on Canny operator edge detection, improvements are made by using morphological filter instead of Gauss filter for noise reduction. The experimental results show that the method in this paper has a better effect in filtering denoising and edge preserving

Keywords


Image processing, Edge detection, Canny operatorText


DOI
10.12783/dteees/peems2019/33989

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