A method for extracting the internal structure of biomedical images based on SRG and texture gradient

Authors:
Hu Xia;Zheng Limin;Zhu Hong;Wu Ping;Ming Wenhua;Song Zheng;Guo Huiyuan;Ren Fazheng
Affiliations:
College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of information and Electrical Engineering, China Agriculture University, Beijing 100083, PR China;College of Food Science and Nutritional Engineering, China Agriculture University, Beijing 100083, PR China;College of Food Science and Nutritional Engineering, China Agriculture University, Beijing 100083, PR China
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2010

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Abstract

The aim of this paper is to introduce a modified method by integrating the traditional isolated connected algorithm, which is based on SRG (Seeded Region Growing), with the texture gradient. To extend the method's application, we not only obtained the boundary and the internal structure of 150 CT images of trabecular bone of mice, but also gained grasshoppers' spore images which have no obscure texture. The experiment shows that this method can obtain the boundary and the internal structure of the desired part of the biomedical images quickly and reliably. It has practical value in biomedical image analysis.