Open AccessJournal Article
Algorithm for Bleeding Determination Based On Object Recognition and Local Color Features in Capsule Endoscopy
TL;DR: In locating bleeding regions, the identification of object outlines in the frame and features of their local colors were taken into consideration and the capability of detecting bleeding was much improved.
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Abstract: Automatic determination of blood in less bright or noisy capsule endoscopic images is difficult due to low S/N ratio. Especially it may not be accurate to analyze these images due to the influence of external disturbance. Therefore, we proposed detection methods that are not dependent only on color bands. In locating bleeding regions, the identification of object outlines in the frame and features of their local colors were taken into consideration. The results showed that the capability of detecting bleeding was much improved. Keywords—Endoscopy, object recognition, bleeding, image processing, RGB.
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Citations
Transform based bleeding detection technique for endoscopic images
Mekha Mathew,Varun P. Gopi +1 more
- 18 Jun 2015
TL;DR: A novel method for distinguishing bleeding regions from normal regions based on Contourlet transform and Local Binary Pattern (LBP) is proposed and experiments show that this method provides a high accuracy rate of 96.38% in CIE XYZ colour space for k-Nearest Neighbour (k-NN) classifier.
25
Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos
Said Charfi,Mohamed El Ansari +1 more
- 22 Mar 2017
TL;DR: A method for automatic detection of the bleeding region in WCE images is presented and the capability of detecting bleeding was much improved and the proposed approach could obtain classification accuracy up to 94.4%.
8
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•Journal Article
Real-Time Image Analysis of Capsule Endoscopy for Bleeding Discrimination in Embedded System Platform
Yong-Gyu Lee,Gilwon Yoon +1 more
TL;DR: This work proposes a method of detecting frames with potential bleeding in real-time based on statistical analysis and the shapes of bleeding spots and results were excellent where a sensitivity and specificity of 97% were achieved.