Algorithm Research Based on The Wavelet Image Edge Detection

• 1、Information and Electrical Engineering School,China University of Mining and Technology,XuZhou 221008

Abstract：Edge detection is quite important in image processing, since edges usually include the main information of an image. Image edge detection is the basic step in processing and identifying the image, though there are many different reasons for the cause of image edge, reflect in the basic element of the image they are all the points of discontinuity or gradation acuteness change of the gradation. This means that the edge of image is the high frequency part of signal. So all the methods of image edge detection is to detect the high frequency part of signal. But in practical image, edge detection becomes a problem because of the existence of the noise. The Roberts, Sobel, Prewitt, Log and Canny operator are all the classical edge detection algorithm, therefor they leave much to be desire at certain physical. So, this paper advanced a algorithm based on the wavelet image edge detection, firstly, we should proceed the binarization with the inward image, and then proceed the wavelet transform, in the end using the module maxima means detect out the edge of the image. The paper emulate and compare with each operator, showing that this algorithm made up the shortcoming of the classical means effectively. When restrain the noise, this means also supply higher setting accuracy of the edge.

Keywords： edge dtection wavelet tansform bnarization image pocessing