Abstract
Conference Title: 2017 4th International Conference on Systems and Informatics (ICSAI) Conference Start Date: 2017, Nov. 11 Conference End Date: 2017, Nov. 13 Conference Location: Hangzhou, China This paper presents a new method for the segmentation of glandular cavity. Our method is based on the K-means and mathematical morphology. We have segmented the entire glandular cavity and eliminated many of the interference factors in the gastric glandular image. An important characteristic of our method is that we combined the K-means with the mathematical morphological processing, and carried out the iterative execution which resulted in a gradual refinement, and the algorithm can run in nearly a linear time. Images that are processed using our methods can be more effective in helping doctors diagnose disease.