An Edge Detection Algorithm for the Image of Log End Based on Homomorphic Enhancement
The process of recognizing the image of log end by the way of image processing technique was involved in this study, according to the features of the log end images, removed internal hole noises and external band noises of the image by combining the area threshold method and mathematical morphology. Processed the image by the method of homomorphic enhancement, transformed the image to the logarithm form, and applied Fourier Transform, then connected low frequency component with irradiated component, and high frequency component with reflex component, with this approach, the interrelated contrast of the image can be enhanced, and the clear edges of the log end can be detected. Experiment shows that the proposed algorithm is better than other algorithms.
image processing log scaling mathematical morphology threshold homomorphic enhancement
Zhen-rong Mei Hong-e Ren Ben-zhi Dong
Information and Computer Engineering College Northeast Forestry University Harbin, China
国际会议
太原
英文
53-56
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）