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《Computer Applications and Software》 2014-05
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MEDICAL IMAGE EDGE DETECTION BASED ON ADAPTIVE MORPHOLOGY ALGORITHM

He Meng;Yi Xiuying;Tang Lin;Yin Shen;Li Xiaochun;School of Physics and Electronic,Central South University;  
As to the characteristics of complex structure,vague and big noise in medical images of human body,in this paper we propose a new adaptive edge detection algorithm with multi-scale structural elements,present the method of calculating each structural element weight in the new algorithm,and compare it with the traditional algorithms. Experimental results show that the new algorithm can overcome the defect of weak anti-interference ability in traditional edge detection algorithm,and better realises the weak edge detection of noisy image. It has the characteristics of high detection flexibility,smooth and rich edge information acquired,and easy to realise the algorithm programming.
【Fund】: 国家自然科学基金项目(11264037)
【CateGory Index】: TP391.41
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