  In this paper, a color edge detection method is proposed where the
multi-scale Gabor filter are used to obtain edges from input color images. The
main advantage of the proposed method is that high edge detection accuracy is
attained while maintaining good noise robustness. The proposed method consists
of three aspects: First, the RGB color image is converted to CIE L*a*b* space
because of its wide coloring area and uniform color distribution. Second, a set
of Gabor filters are used to smooth the input images and the color edge
strength maps are extracted, which are fused into a new ESM with the noise
robustness and accurate edge extraction. Third, Embedding the fused ESM in the
route of the Canny detector yields a noise-robust color edge detector. The
results show that the proposed detector has the better experience in detection
accuracy and noise-robustness.
