A new method for edge detection base on Matching pursuit

Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching pursuit (MP). Our method has four steps. Firstly, the color image is converted to gray Image. Secondly, the residual part of Matching pursuit algorithm with the wavelet packet dictionary is extracted. Thirdly, the morphology method is applied to remove the additional parts of the previous image and finally, the Ostu’s thresholding method converts image to binary form. We compared our algorithm with the tradition methods like Prewitt, Sobel, Laplasian of Gaussian(LOG) and Canny operators. Results show that our algorithm has high value of Performance parameters such as PR, PSNR and FOM compared to other algorithms.