Cervical cancer image region segmentation method based on fuzzy logic and ANFIS

The invention discloses a cervical cancer image region segmentation method based on fuzzy logic and ANFIS, belongs to the field of image processing, and aims to solve the problems that an existing cervical image segmentation method is low in segmentation rate, large in time consumption and multiple in training parameters. According to the method, the method comprises the steps: two times of iterative detection are carried out on the edges by utilizing fuzzy logic, and pixel-level image fusion is carried out on the detected edges; the tumor area is detected by adopting a fuzzy rule edge detection method. then annular symmetric Gabor transformation is performed on the fused cervical image, texture features are extracted from the image subjected to the annular symmetric Gabor transformation, and the texture features are classified by adopting an ANFIS classification method; and further, a morphological operation is used to segment and classify a tumor region in the abnormal cervix image. 基于模糊逻辑和ANFIS的宫颈癌图像区域分割方法