Research On Image Segmentation And Enhancing Based On Wavelet Analysis

Image segmentation, which is to segment objects and background in image from one another, is an essential and important topic in image recognition and image understanding. In recent yeas, multiresolution is being increasingly used in image processing and computer vision and it is also a new effective way to solve the problem of image segmentation. As "mathematical microscope", wavelet analysis become an new tool to simulate visual perception of multi-scale for its feature of multiresolution from coarse to fine.This paper improved on image of wavelet pack transform which has been depend change of window , it is based on colligation image segmentation, it is utilized method of wavelet transform and special representation of the wavelet analysis. We propose a image segmentation which has combined wavelet pack and arithmetic of energy examine, with energy examine, it has changed localization with energy examine, It is a modified wavelet transform, which is suitable to process non-stationary signal but can performs further decomposition only in low frequency. With the wavelet packet transform, we are able to zoom into any desiredfrequency channels for further decomposition.The main research results in this paper were as follows:The different distribution of image signal and noise versus wavelet coefficient werediscussed. This research provided the theory basis for separating signal from noise by threshold. An self-adaptive local threshold scheme was proposed. In combination with natural characteristics of image, the signal could be distinguished in wavelet transform, the edge of image could be enhanced with adjusting factor. Simulation results were provided in this paper. Satisfying results were obtained in noise smoothing, with image edge and other main features being retained. The advantages and disadvantages of wavelet transform and wavelet packet transform were analyzed, an image segmentation method was improved with the basis of a wavelet transform packet. Simulation results were provided in this paper. The research results proved the efficiency of the method.