Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos
نویسندگان
چکیده
Capsule endoscopy (CE) is a method used to visualize the entire small intestine. It is a widely adopted procedure for diagnosing gastrointestinal diseases including obscure bleeding, Crohn’s disease, gastric ulcers, and colon cancer. The CE videos used in this research were produced with the Pillcam by Given Imaging. The imaging component of this system is a vitamin-sized capsule that comprises a color CMOS camera, a battery, a light source, and a wireless transmitter. The device captures two images per second for approximately eight hours and generates approximately 55,000 color images with a size of 256 256 pixels during the life of its usage.
منابع مشابه
Detecting Informative Frames from Wireless Capsule Endoscopic Video Using Color and Texture Features
Despite emerging technology, wireless capsule endoscopy needs high amount of diagnosis-time due to the presence of many useless frames, created by turbid fluids, foods, and faecal materials. These materials and fluids present a wide range of colors and/or bubble-like texture patterns. We, therefore, propose a cascade method for informative frame detection, which uses local color histogram to is...
متن کاملTexture and color based image segmentation and pathology detection in capsule endoscopy videos
This paper presents an in-depth study of several approaches to exploratory analysis of wireless capsule endoscopy images (WCE). It is demonstrated that versatile texture and color based descriptors of image regions corresponding to various anomalies of the gastrointestinal tract allows their accurate detection of pathologies in a sequence of WCE frames. Moreover, through classification of singl...
متن کاملOrganic Boundary Location Based on Color-Texture of Visual Perception in Wireless Capsule Endoscopy Video
This paper addresses the problem of automatically locating the boundary between the stomach and the small intestine (the pylorus) in wireless capsule endoscopy (WCE) video. For efficient image segmentation, the color-saliency region detection (CSD) method is developed for obtaining the potentially valid region of the frame (VROF). To improve the accuracy of locating the pylorus, we design the M...
متن کاملDetection of some Tree Species from Terrestrial Laser Scanner Point Cloud Data Using Support-vector Machine and Nearest Neighborhood Algorithms
acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...
متن کاملDetection of bleeding patterns in WCE video using TV-Retinex
The Retinex theory is used to deal with the removal of unfavorable illumination effects from images. In this paper, we present the Retinex theory for bleeding detection in wireless capsule endoscopy (WCE). This processing is quite appropriate to refresh old bleeding region and bleeding region in shadow. A novel total variation model (TV-Retinex) is proposed to solve the Retinex problem quickly;...
متن کامل