Font Size: a A A

Research On Medical Images Processing Theories And Methods Based On Mathematical Morphology

Posted on:2007-12-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y Q ZhaoFull Text:PDF
GTID:1118360185486746Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Medical images, which reflect complex and abundant information of human histology, are difficult to process. But medical images processing is a key part to medical images research, and possesses enormous use value to the application and development of clinical medicine.Mathematical morphology, whose most important procedure is to construct structuring element, is one of the very practical image processing methods. But traditional mathematical morphology uses fixed structuring element to process the whole image uniformly, and therefore, results in over-processes or the below-processes the input image.Based on these, in this paper, medical images processing theories and methods based on mathematical morphology are put forward, which mainly include noise filtering, edge detection, edge linking and segmentation of medical image. A lot of experimentations are made to validate the effectivity of the presented methods or algorithms. In this paper, the main reseach work and innovative results are as follows:(1) Mathematical morphological medical images filtering method based on genetic algorithm is put forward.The effect of median filtering is restricted by the size and shape of filtering domain, by the magnitude of noise intensity, and the design of filtering domain has no regular pattern to follow; the effect of morphological Open-Close filtering badly depends on the shape and size of structuring element, and morphological Open-Close filtering have the property of idempotency. To utilize the advantages and overcome the disadvantages of median filtering and morphological Open-Close filtering, mathematical morphological medical images filtering method based on genetic algorithms is put forward. The method optimize filtering domains and structuring elements by genetic algorithm, which constructs reasonable fitness function and computes the maximum value of fitness function to search for the best combination of filtering domain and structuring element. The experimental results show that the method is excellent for...
Keywords/Search Tags:mathematical morphology, medical images, image processing
PDF Full Text Request
Related items