Hlder exponent and Multifractal Spectrum Analysis in the Pathological Changes Recognition of Medical CT Image

作     者：Lei Yu and Dawei Qi Northeast Forestry University Harbin 150040,China 

会议名称：《2011 Chinese Control and Decision Conference（CCDC）》

会议日期：2011年

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by “the Fundamental Research Funds for the Central Universities ” (DL10BB12) 

关 键 词：Multifractal theory Hlder exponent Multifractal spectrum Image processing 

摘      要：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 *** edge recognition of pathological changes is one of the most important steps in the *** theory was applied to detect the medical pathological changes in the *** with conventional digital image processing,the Hlder exponent of image pixels was computed first,then its multifractal spectrum was estimated and different image pixels were classified,smoothing edge point;singular edge *** on multifractal theory,the set with both singular edge points and smoothing edge points is the set of image edge *** results showed that the method of image processing based on multifractal theory was a more effective and more local *** theory is a new theory and method under digital image management area,producing great influence on digital image management theory and technology.