ABSTRACT
Ulcer is one of the most common indications of many serious diseases in the human digestive tract. Especially for ulcers in the small intestine where other methods may not display properly, capsule endoscopy is increasingly used in the diagnosis and clinical management. Since endoscopy generates lots of images of the entire inspection process, computer-aided detection ulcer is considered an essential relief for clinicians. In this work, a computer added design system is proposed for fully automated computer in two stages to detect images ulcer. In the first step, a detection method based on the effective prominence super pixel multilevel outline representation candidates proposed ulcer. To find the perceptual and semantically meaningful salient regions, the first image segment in multilevel super pixel segmentation. Each level corresponds to different initial sizes of super pixels region. Then the corresponding prominence according to the characteristics of color and texture of each level super pixel region is evaluated. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
.png)
