Microscopic image enhancement of Chinese Herbal Medicine based on fuzzy set

In order to simply and effectively extract important feature information and improve the accuracy of microscopic image recognition of Chinese Herbal Medicine (CHM), a kind of microscopic image enhancement technique of CHM based on fuzzy sets is put forward. Fuzzy set describes the vague degree of information, which study the different objects belong to the same class of membership relations. Implementation of fuzzy image enhancement of CHM has three steps that is image fuzzy feature extraction, the correction of a subordinate function values and fuzzy domain inverse transform. Firstly, from the spatial domain to the blurred domain, the blur feature of the microscopic image of CHM is extracted through a certain transformation. Secondly, the membership degree of function of the fuzzy enhancement operator is modified by varying the regression. Finally, a new gray level image is formed by the inverse transform, so that the data is transformed from the image blur domain to the spatial domain and the original image is enhanced. The theoretical analysis and experimental results show that the proposed method provides a good visual effect for image recognition and make it easier to the detection and identify for the target area.