An edge detection algorithm for the image of log end based on homomorphic enhancement
Zhen-rong Mei, Honge Ren, Benzhi Dong · 2010
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.