H(o)lder exponent and Multifractal Spectrum Analysis in the Pathological Changes Recognition of Medical CT Image
With the development of digital processing technology and medical radiative testing technology, digital medical image has gained a lot of importance in the clinical diagnosis and remedies by image processing. And edge recognition of pathological changes is one of the most important steps in the processing. Multifractal theory was applied to detect the medical pathological changes in the paper. Compared with conventional digital image processing, the Holder exponent of image pixels was computed first, then its multifractal spectrum was estimated and different image pixels were classified, smoothing edge point; singular edge point. Based on multifractal theory, the set with both singular edge points and smoothing edge points is the set of image edge points. Experimental results showed that the method of image processing based on multifractal theory was a more effective and more local method. Multifractal theory is a new theory and method under digital image management area, producing great influence on digital image management theory and technology.
Multifractal theory Holder exponent Multifractal spectrum Image processing
Lei Yu Dawei Qi
Northeast Forestry University Harbin 150040, China
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
2040-2045
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）