The invention relates to the technical field of medical
image processing, and provides a method for adaptively extracting an MR image of a cervical tumor, and the method comprises the steps: 1, carrying out the
anisotropic filtering of an original MR image, eliminating
noise, and keeping the edge of a tumor; Step 2, for the filtered MR image, setting a proportionality coefficient in combination with the numerical relationship between the average gray scale of each image and the average gray scale of the tumor, and improving a traditional adaptive region growth method to obtain a roughly segmented
tumor region image; And step 3, performing fine segmentation on the
tumor region by using morphological operation to enable the current region to be communicated and smooth the edge. According tothe method, an improved adaptive region growth method is utilized, the
coincidence rate of an obtained segmentation result and a
tumor region gold standard manually drawn by a doctor is high, the complexity of manually setting a threshold value is avoided, the artificial participation degree is reduced, artificial subjective deviation is reduced, universality is achieved, and a reasonable reference is provided for
clinical diagnosis.