Computer-aided Kidney Segmentation on Abdominal CT Images Using Fuzzy Based Denoising for Gaussian Noise

摘要

In this paper, we have proposed an image filtering technique (fuzzy logic based approach) to preserve important signal elements such as edges, smoothing the details of an abdominal CT image such as kidney to make it appear clear and sharpener. At first, abdominal CT images are retrieved from Gaussian noise using fuzzy logic based approach. After that, kidney region have been segmented from the abdomen area using region growing algorithm. In region growing process, the first stage detects the abdomen boundary using contour detection algorithm. The second stage identifies the kidney using seed point location. After successful segmentation, the kidney region is extracted and it is given to some region growing methods such as Region Growing Interest (ROI), pixel filling, erosion, labeling and dilation to find the accurate segmented area of these abdominal CT images. The results of a series of tests on 62 images from 16 patients indicate an interrelationship up to 73% between automatic and manual segmentation.