title: Reducing redundancy in wireless capsule endoscopy videos.
abstract: We eliminate similar frames from a wireless capsule endoscopy video of the human intestines to maximize spatial coverage and minimize the redundancy in images. We combine an intensity correction method with a method based an optical flow and features to detect and reduce near-duplicate images acquired during the repetitive backward and forward egomotions due to peristalsis. In experiments, this technique reduced duplicate image of 52.3% from images of the small intestine.
authors.affiliation: Department of Computer and Information Engineering, Inha University, South Korea. hg_lee@inha.edu
authors.forename: Hyun-Gyu
authors.initials: HG
authors.lastname: Lee
authors.forename: Min-Kook
authors.initials: MK
authors.lastname: Choi
authors.forename: Byeong-Seok
authors.initials: BS
authors.lastname: Shin
authors.forename: Sang-Chul
authors.initials: SC
authors.lastname: Lee
mesh_terms: D053705:Capsule Endoscopes; D053704:Capsule Endoscopy / Q000295:instrumentation* / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007421:Intestine, Small / Q000473:pathology* / Q000503:physiopathology; D008297:Male