title: [Fuzzy space based segmentation algorithm on periosteum medical image processing].
abstract: Object description in medical image often has the property of fuzziness, and with the development of computing, fuzzy logical theories are progressively used in medical image processing. Color medical images differ in spacial presentation and fuzzy description from grey-scale images and must be analyzed by special methods. In this paper, a new method of bone cell segmentation based on fuzzy logical theories is presented. With the utilization of fuzzy set theories in the steps of color enhancing, feature extraction and automatical segmentation, bone cells are detected from the background. The method has the advantages of high accuracy and flexibility to many situations. Experiments of bone cell images have proved that it is a fast and effective method.
authors.affiliation: Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030.
authors.forename: X
authors.initials: X
authors.lastname: Zhou
authors.forename: P
authors.initials: P
authors.lastname: Shi
authors.forename: C
authors.initials: C
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010521:Periosteum / Q000166:cytology*