Chinese Optics Letters, 2007, 5 (2): 79, Published Online: Feb. 8, 2007
An improved computing method for the image edge detection Download: 2225次
图像处理 边缘检测 亚像素 多重分形 最奇异流形 100.2650 Fringe analysis 100.5010 Pattern recognition 100.2000 Digital image processing 120.2650 Fringe analysis
Abstract
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.
Gang Wang, Liang Xiao, Anzhi He. An improved computing method for the image edge detection[J]. Chinese Optics Letters, 2007, 5(2): 79.