Title :
Interactive Segmentation of Capsule Endoscopy Images Using Grow Cut Method
Author :
Shanmugasundaram, P. ; Santhiyakumari, N.
Author_Institution :
Dept. of ECE, Knowledge Inst. of Technol., Salem, India
Abstract :
High incidence of Gastrointestinal (GI) tract related diseases are common nowadays, which leads to cancer. Diagnose of these kind of diseases is not easy in the early stage. This makes the researchers to develop an automated screening technique for early detection, many modalities are employed to view the GI tract but complete visualization is not possible. Wireless Capsule Endo scopy (WCE) is a modern modality which helps to view the complete GI tract, This claims an computational assistances which automatically segment the defective frames with the help of computer assisted diagnosis, In this paper the author describes an semi-automated interactive grow cut algorithm for segmenting capsule endoscopy (CE) images as foreground and background image by iterative process with a small number of user-labeled pixel the rest of the images are segmented with less human input. User can view and guide the algorithm without any additional user effort a semi automated segmentation is computed using mat lab.
Keywords :
biomedical optical imaging; diseases; endoscopes; image segmentation; image sensors; interactive devices; medical image processing; user interfaces; CE image segmentation algorithm; GI tract viewing modalities; GI tract visualization computational assistance; WCE-based GI tract visualization modality; WCE-based gastrointestinal tract visualization modality; automated GI tract disease screening technique; automated gastrointestinal tract disease screening technique; automatic defective frame segmentation; automatic image segment; background image segmentation; cancer-related GI tract diseases; cancer-related gastrointestinal tract diseases; capsule endoscopy image segmentation algorithm; complete GI tract visualization; complete gastrointestinal tract visualization; computer assisted GI tract disease diagnosis; computer-assisted gastrointestinal tract disease diagnosis; early GI tract disease detection; early GI tract disease stage diagnosis; early gastrointestinal tract disease detection; early gastrointestinal tract disease stage diagnosis; foreground image segmentation; gastrointestinal tract viewing modalities; gastrointestinal tract visualization computational assistance; grow cut method; interactive image segmentation; iterative image segmentation process; less human input image segmentation; matlab-based image segmentation; semiautomated image segmentation; semiautomated interactive grow cut algorithm; user-guided image segmentation algorithm; user-labeled pixel; wireless capsule endoscopy; Automata; Biomedical imaging; Endoscopes; Image segmentation; Medical services; Object segmentation; Paints; Gastro intestinal tract; Grow cut technique; Wireless capsule Endoscopy; interactive image segmentation;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.52
