The Research And Realization On Segmentation Method Of Digital Image Processing

Digital image processing is a mathematical procedure which calculated by computer. Image segmentation is a technology that divide image into characteristic areas and put forward the interested target. Image segmentation is a key step from digital image processing and analysis, so it has an important position in the technology of the image processing.The background of this paper is "the research on the recognition algorithm of video signal sampling in ITS", which is a scientific & technical development plan of HuBei province. Image segmentation mainly has following several treatments. Firstly, proceeding from the whole graph. Judge each pixel's classification based on collected groups of attribute spaces, finally get the areas. Secondly, setting out from pixels. Form an area by collecting near pixels with unanimous attribute. Thirdly, division-collection method. Divide the image into several regular blocks, don't separate the blocks without consistent attribute and unite the blocks with the same attribute, until forming a district map. The ability that man can distinguish different goals from the complicated scenery quickly, at least partly benefit from many kinds of information in the image, such as the grey level, border, texture, etc. It illumine people to create methods on how to use mis information to segmentation. Edge information is the most important high frequency information of an image. Therefore we should try to maintain more edge information in the process of denoising. We present a new image denoising and segmentation method based on wavelet analysis and mathematical morphology. In some extent, It simulate the ability of human vision system by this means. The experiment results show that the segmentation method is effective, it has some practicality.This thesis can divide into six parts. The first part is to introduce the classification, characteristic, and relevant technology of image processing, and segmentation's position in the image engineering. The second part will analyse the characteristic and advantage of digital image transformation, basing on the relevant mathematics theories. The third part is to introduce several typical digital pretreatment of the image. The fourth part will put an emphasis on various kinds of main algorithm of the image segmentation, followed by the comparison, the conclusion, and classification. The fifth part will introduce some general tools of program designs for image processing, and put forward a segmentation experiment method on vehicle license plates. The last part is a summary and prospect.