A Novel Natural Image Edge Detection Algorithm Based on Depth Image and Feature Extraction
Abstract
In this paper, we propose a novel natural image edge detection algorithm based on depth image and feature extraction. The characteristics of edge the pixel change that moves toward along edge are generally gentle, but is vertical is fierce to the pixel change of edge direction. Image edge information is very important in image distribution and human vision. It is an important property of image feature extraction in image recognition. The existing methods of edge detection have their own characteristics, but also have their own limitations and the shortcomings. In the article proposed an operation order of complexity low color edging detection algorithm, the detection template of original gradation edge will expand to the marginal check of color picture that makes full use of color picture's color information. With the integration of image representation, the effectiveness of the model is enhanced compared with other state-of-the-art methods.
Keywords
Natural Image; Edge Detection; Depth Image; Feature Extraction
DOI
10.12783/dtssehs/asshm2016/8352
10.12783/dtssehs/asshm2016/8352