Contents Based Color Image Edge Detection Using Hessian Matrix
Li Zhang, Lie Jun Wang, Sen Hai Zhong, Gang Zhao · Applied Mechanics and Materials · 2013
The edges are the most fundamental and important characteristic of an image, edge detection is the key link and classic topic in machine vision and image processing. Considering the human visual characteristics, the intrinsic gradient direction information of color images was used to obtain the pseudo-color edges of the images by conducting multichannel edge detection. After enhancing the edge information and removing the correlation, the brightness is extracted in order to obtain complete image edge information. To make the edges more smooth and continuous, the Hessian matrix is used to remove coarse edges and edges with redundant background texture. The experiment verifies the effectiveness of the proposed algorithm, and the comparison with other scheme indicates that our scheme can improve the effectiveness, continuity and sharpness of edge detection.