On digital approximation of moment invariants
Computer Vision, Graphics, and Image Processing
Introduction to numerical analysis: 2nd edition
Introduction to numerical analysis: 2nd edition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Robust Histogram Construction from Color Invariants for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pixel-based skin color detection technique
Machine Graphics & Vision International Journal
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Image analysis by modified Legendre moments
Pattern Recognition
Computer-aided tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
Image analysis by Tchebichef moments
IEEE Transactions on Image Processing
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Some computational aspects of discrete orthonormal moments
IEEE Transactions on Image Processing
Robust photometric invariant features from the color tensor
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
A Meta Registration Framework for Lesion Matching
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Using ensemble classifier for small bowel ulcer detection in wireless capsule endoscopy images
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Local polynomial approximation for unsupervised segmentation of endoscopic images
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Computer-aided small bowel tumor detection for capsule endoscopy
Artificial Intelligence in Medicine
Bag-of-visual-words approach to abnormal image detection in wireless capsule endoscopy videos
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Automatic polyp detection for wireless capsule endoscopy images
Expert Systems with Applications: An International Journal
Capsule endoscopy image analysis using texture information from various colour models
Computer Methods and Programs in Biomedicine
Texture and moments-based classification of the acrosome integrity of boar spermatozoa images
Computer Methods and Programs in Biomedicine
Texture and color based image segmentation and pathology detection in capsule endoscopy videos
Computer Methods and Programs in Biomedicine
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The wireless capsule endoscopy (WCE) invented by Given Imaging has been gradually used in hospitals due to its great breakthrough that it can view the entire small bowel for gastrointestinal diseases. However, a tough problem associated with this new technology is that too many images to be examined by eyes cause a huge burden to physicians, so it is significant if we can help physicians do diagnosis using computerized methods. In this paper, a new method aimed for bleeding and ulcer detection in WCE images is proposed. This new approach mainly focuses on color feature, also a very powerful clue used by physicians for diagnosis, to judge the status of gastrointestinal tract. We propose a new idea of chromaticity moment as the features to discriminate normal regions and abnormal regions, which make full use of the Tchebichef polynomials and the illumination invariant of HSI color space, and we verify performances of the proposed features by employing neural network classifier. Experimental results on our present image data of bleeding and ulcer show that it is feasible to exploit the proposed chromaticity moments to detect bleeding and ulcer for WCE images.