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 (x, 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.