Knowledge-based assistant for colonscopy
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Deterioration detection for digital film restoration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Parsing and browsing tools for colonoscopy videos
Proceedings of the 12th annual ACM international conference on Multimedia
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Keynote 3: Digital Inpainting " Survey and Multilayer Image Inpainting Algorithms
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Mining colonoscopy videos to measure quality of colonoscopic procedures
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
International Journal of Robotics Research
Improving the quality of color colonoscopy videos
Journal on Image and Video Processing - Color in Image and Video Processing
The use of color in highlight identification
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Indistinct Frame Detection in Colonoscopy Videos
IMVIP '09 Proceedings of the 2009 13th International Machine Vision and Image Processing Conference
Markerless endoscopic registration and referencing
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Fractal analysis in the detection of colonic cancer images
IEEE Transactions on Information Technology in Biomedicine
Computer-aided tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
IEEE Transactions on Image Processing
MPEG-7 Visual Descriptors—Contributions for Automated Feature Extraction in Capsule Endoscopy
IEEE Transactions on Circuits and Systems for Video Technology
Closed contour specular reflection segmentation in laparoscopic images
Journal of Biomedical Imaging
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Minimally invasive medical procedures have become increasingly common in today's healthcare practice. Images taken during such procedures largely show tissues of human organs, such as the mucosa of the gastrointestinal tract. These surfaces usually have a glossy appearance showing specular highlights. For many visual analysis algorithms, these distinct and bright visual features can become a significant source of error. In this article, we propose two methods to address this problem: (a) a segmentation method based on nonlinear filtering and colour image thresholding and (b) an efficient inpainting method. The inpainting algorithm eliminates the negative effect of specular highlights on other image analysis algorithms and also gives a visually pleasing result. The methods compare favourably to the existing approaches reported for endoscopic imaging. Furthermore, in contrast to the existing approaches, the proposed segmentation method is applicable to the widely used sequential RGB image acquisition systems.