An improved computing method for the image edge detection

被引:0
|
作者
Wang, Gang [1 ,2 ]
Xiao, Liang [3 ]
He, Anzhi [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Sci, Nanjing 210094, Peoples R China
[2] Ludong Univ, Sch Phys & Elect Engn, Yantai 264025, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Peoples R China
关键词
D O I
暂无
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The framework of detecting the image edge based on the sub-pixel multi-fractal measure (SPMM) is presented. The measure is defined, which gives the sub-pixel local distribution of the image gradient. The more precise singularity exponent of every pixel can be obtained by performing the SPMM analysis on the image. Using the singularity exponents and the multi-fractal spectrum of the image, the image can be segmented into a series of sets with different singularity exponents, thus the image edge can be detected automatically and easily. The simulation results show that the SPMM has higher quality factor in the image edge detection.
引用
收藏
页码:79 / 81
页数:3
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