摘要
医学图像的目标描述往往是带有模糊性的。随着计算技术的发展，模糊逻辑理论渐渐被引入医学图像处理的理论研究和实际应用中。而彩色医学图像和发庭图像具有不同的空间表达和模糊描述方式，其分析处理方法也有区别。我们阐述了一种基于模糊空间的彩色骨膜显微图像识别，提出用模糊算法进行彩色图像增强、特征提取和自动分割，完成了对骨膜显微图像中的骨细胞的分割过程。通过对多幅实际采集的彩色图像进行处理，实验结果结果表明是一种十分有效的识别分割方法。
Object description in medical image of ten 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 sltuations. Experiments of bone cell images have proved that it is a fast and effective method.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2000年第2期170-173,共4页
Journal of Biomedical Engineering
基金
国家自然科学基金!69931010
关键词
图像处理
骨膜
显微图像识别
模糊空间
Image processing Color image Medical image Fuzzy logic Segmentation
