The Research Of Image Edge Detection Based On Fuzzy Method And Wavelet Transform

Edge, one of the most important characteristic in the image, communicates very valuable information. Fuzzy method can detect image edge by setting different subject functions. And wavelet transform has the character of math microscope which makes the detection of the edge and details perform excellent in the image processing.This paper applied both wavelet Multi-scale transform and fuzzy method in the image detection. Then it analyzes and compares the results of both methods in detail. It shows that wavelet Multi-scale transform and fuzzy method are more advantageous than the traditional methods. This paper makes an improvement on traditional fuzzy method based on fuzzy theory by adding a restrain value in the fast fuzzy method. By combining the fuzzy method with histogram, it puts forward a multi-value fuzzy method which can detect more precise information of image edge compared with the two-value method. In order to test the new method's performance of edge detection, some salt & pepper and Gaussian noise is added to the original image, and then analyze the results of edge detection of noisy images in detail. It shows the advantage of wavelet Multi-scale transform and fuzzy method in noise resistance, compared with the traditional methods. This paper propounds an original method to detect the Multi-spectrum image's edge, which applies the edge detection result of the panchromatic image to the multi-spectrum image edge detection, and employs the wavelet transform and fuzzy method to test the new method's feasibility. This method expands the range of the edge detection means, also promotes convenience for the remote image's interpretation.