Image Recognition Method for Pathological Changes Based on Morphology and SVM
基于形态学及SVM思想的病变图象识别方法

The paper brings forward a new image recognition method for pathological changes with morphology theory and SVM algorithm. Image character described by structure theory and frame sector is used as training data of SVM. Meanwhile, rapid classification of image character can be realized by the aid of favorable classification performance of SVM, by which image structure can be classified, which can improve recognition efficiency. The paper also gives the infrared image sample of galactophore to test the algorithm. The result shows that the algorithm can improve recognition ratios effectively and the algorithm has a broad foreground. As well as this method can be applied other similar pattern recognition.