期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：4
页码：85
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Fractal analysis has been shown to be useful in image processing for characterizing shape and gray-scalecomplexity. The fractal feature is a compact descriptor used to give a numerical measure of the degree ofirregularity of the medical images. This descriptor property does not give ownership of the local imagestructure. In this paper, we present a combination of this parameter based on Box Counting with GLCMFeatures. This powerful combination has proved good results especially in classification of medical texturefrom MRI and CT Scan images of trabecular bone. This method has the potential to improve clinicaldiagnostics tests for osteoporosis pathologies.
关键词：Fractal analysis; GLCM Features; Medical images; Osteoporosis pathologies.
