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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。
The target description of medical images is often ambiguous. With the development of computing technology, fuzzy logic theory has been gradually introduced into the theoretical research and practical application of medical image processing. The color medical image and the hair court image have different spatial expression and fuzzy description methods, and their analytical methods are also different. We describe a color-based periosteal microscopic image recognition based on fuzzy space. We proposed a fuzzy algorithm for color image enhancement, feature extraction and automatic segmentation, and completed the process of osteocyte division in the periosteal microscopic image. Experimental results show that it is a very effective method for recognition segmentation by processing a large number of actual color images collected.