Research on improved edge extraction algorithm of rectangular piece

Author:

He Yi-Bin12,Zeng Ya-Jun1,Chen Han-Xin1,Xiao San-Xia3,Wang Yan-Wei1,Huang Si-Yu4

Affiliation:

1. School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China

2. Hubei Provincial Key Laboratory of Chemical Equipment, Intensification and Intrinsic Safety, Wuhan 430205, P. R. China

3. Library, Fujian Jiangxia University, Fuzhou 350108, P. R. China

4. School of Mechanical and Electrical Engineering, Sanming University, Sanming 365004, P. R. China

Abstract

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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