A novel contour detection method

摘要

A novel multi-scale cue combination contour detection method is presented. The contour detector is derived from the local image brightness, color, and texture channels of each image pixel (jc, y). To build contour detector, the brightness, color and texture gradient of image is defined. Then the posterior probability model of boundary G is introduced by using learning techniques for multi-scale cue combination. Finally, the experiment shows the performance of the raw detector and multi-scale cue combination detector.