Digital Image Processing Methods Based On Fuzzy Enhancement

Image processing is low level operation in image engineering, it plays an important role in image analyzing and computer vision. Because of image processing problem possesses high complexity and the intercross characteristic of subject, the problem has not been good solved for several decades. It occurs information loss when the three dimensions target is projected on the two dimensions image plane; There is fuzzy character in defining boundary, region and texture of image; It brings fuzzy character that explaining the result of the low level image processing. Thus the use of fuzzy information processing technique in image processing is reasonable and inevitability.Based on consulting a lot of related reference, it is illustrated the naissance of fuzzy enhancement algorithm of digital image, the improved algorithms by the scholar before, and the latest development and pulse about this algorithm .Through summarizing deeply the work having been done by the other scholars, in this dissertation, it has done some work with innovation in its power. In chapter 1, it tells us that the intention, significance and the international and domestic general situation of fuzzy enhancement algorithms of digital image.In chapter 2, it is illustrated that the basic theory of fuzzy knowledge, which will be referred directly or indirectly.In chapter 3, it introduces detailedly the general situation of fuzzy enhancement algorithm, points out the problem existed and the way to improve. Especially, as the now-available image fuzzy enhancement methods are inefficient, it proposes an efficient view, which based on the grey value instead of pixels. This idea, combined with the strong matrix operation and function, make this method superiority go to the extreme .This is a dazzling innovation in the dissertation.In chapter 4 ,considering the fuzzy enhancement methods before based on overall image and count all the grey value of pixels and ignore the flaw of disequilibrium of local pixels ,proposes the fuzzy contrast concept and operation ,thus it increase the grey contrast between the pixel grey and its neighbor. This method is not very perfect, but it is a particular idea, and it gives us another approach of fuzzy enhancement, method in different point of view. Combining the property of the given pixture, this dissertation improves the methods successfully. Therefore, it can be said that this is another innovation of being proud of. In the project of country road programming in the ShaYa City Xinjiang Province, we apply the method based on fuzzy contrast to the remote sensing image, and got a good effect.In the last chapter, it summarizes and concludes the fuzzy enhancementmethods, and expects the near future work due to the weak point of the dissertation.The fuzzy enhancement method develops with the popularization of computer and high level application of fuzzy math theory. This is a young and intercross subject, full of youthful spirit and expectation .1 hope that the work I have done in this dissertation will devote my weak strength to the development of fuzzy enhancement of digital image.