Research on improved edge extraction algorithm of rectangular piece
Yibin He, Yajun Zeng, Han-Xin Chen, San-Xia Xiao, Yanwei Wang, Siyu Huang
Wuhan Institute of Technology Fujian Jiangxia University Sanming University
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摘要与影响
Traditional edge detection operators such as Prewitt operator, LOG operator and Canny operator, etc. cannot meet the requirements of the modern industrial measurement. This paper proposes a kind of image edge detection algorithm based on improved morphological gradient. It can be detect the image using structural elements, which deals with the characteristic information of the image directly. Choosing different shapes and sizes of structural elements to use together, the ideal image edge information can be detected. The experimental result shows that the algorithm can well extract image edge with noise, which is clearer, and has more detailed edges compared with the previous edge detection algorithm.
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计算机 / AIOptical measurement and interference techniques
Industrial Vision Systems and Defect Detection · Image Processing Techniques and Applications
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