Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos

In this paper, we present a new feature descriptor for automatic recognition of frames with ulcer in Wireless Capsule Endoscopy (WCE) images. The new approach is based on the fact that the ulcer disease exhibits various features that can not be detected with a single descriptor. Hence, we have combined two stages of the art descriptors in order to get more powerful one. Complete Local Binary Pattern (CLBP) descriptor is used to detect the texture information in the image. In parallel, the Global Local Oriented Edge Magnitude Pattern (Global LOEMP) descriptor is employed to extract the color features. Finally, we combine the feature vectors to get a more discriminating one. Experiments were conducted and the results are satisfactory.

[1]  Leontios J. Hadjileontiadis,et al.  Capsule endoscopy image analysis using texture information from various colour models , 2012, Comput. Methods Programs Biomed..

[2]  Soo Young Shin,et al.  Detection of small colon bleeding in wireless capsule endoscopy videos , 2016, Comput. Medical Imaging Graph..

[3]  Konstantinos Triantafyllou,et al.  A meta-analysis evaluating the accuracy of colon capsule endoscopy in detecting colon polyps. , 2010, Gastrointestinal endoscopy.

[4]  Yuji Iwahori,et al.  Automatic Detection of Polyp Using Hessian Filter and HOG Features , 2015, KES.

[5]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Praveen Kumar,et al.  Complete Local Binary Pattern for Representation of Facial Expression Based on Curvelet Transform , 2014 .

[7]  Mohamed El Ansari,et al.  Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images , 2017, Multimedia Tools and Applications.

[8]  Xiaoli Hao,et al.  Robust Traffic Sign Recognition Based on Color Global and Local Oriented Edge Magnitude Patterns , 2014, IEEE Transactions on Intelligent Transportation Systems.

[9]  Tonmoy Ghosh,et al.  Automatic Small Intestinal Ulcer Detection in Capsule Endoscopy Images , 2016 .

[10]  Dan Carter,et al.  Capsule Endoscopy and Deep Enteroscopy in Irritable Bowel Disease. , 2016, Gastrointestinal endoscopy clinics of North America.

[11]  Tai-Hsi Wu,et al.  Bleeding and Ulcer Detection Using Wireless Capsule Endoscopy Images , 2014 .

[12]  Max Q.-H. Meng,et al.  Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video , 2016, IEEE Journal of Biomedical and Health Informatics.

[13]  Max Q.-H. Meng,et al.  Texture analysis for ulcer detection in capsule endoscopy images , 2009, Image Vis. Comput..

[14]  Max Q.-H. Meng,et al.  Computer-aided small bowel tumor detection for capsule endoscopy , 2011, Artif. Intell. Medicine.

[15]  Stephen Lin,et al.  Single-image vignetting correction using radial gradient symmetry , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[16]  Jordi Vitrià,et al.  Generic Feature Learning for Wireless Capsule Endoscopy Analysis , 2016, Comput. Biol. Medicine.

[17]  Max Q.-H. Meng,et al.  Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis , 2015, IEEE Transactions on Medical Imaging.

[18]  Mohamed El Ansari,et al.  Complementary features for traffic sign detection and recognition , 2016, 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA).

[19]  Lahcen Koutti,et al.  Fast spatio-temporal stereo matching for advanced driver assistance systems , 2016, Neurocomputing.

[20]  Anastasios Koulaouzidis,et al.  Automatic lesion detection in wireless capsule endoscopy — A simple solution for a complex problem , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[21]  Adnan I. O. Zaid,et al.  Comparison Between Mo Addition to ZA22 Grain Refined by Ti and Ti-B Regarding its Metallurgical and Mechanical Characteristics , 2016 .

[22]  Mohamed El Ansari,et al.  Mean shift and log-polar transform for road sign detection , 2017, Multimedia Tools and Applications.

[23]  Mohamed El Ansari,et al.  Traffic sign detection and recognition based on random forests , 2016, Appl. Soft Comput..

[24]  Max Q.-H. Meng,et al.  Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images , 2016, IEEE Transactions on Automation Science and Engineering.

[25]  Andreas Uhl,et al.  Directional wavelet based features for colonic polyp classification , 2016, Medical Image Anal..

[26]  Varun P. Gopi,et al.  A new method for ulcer detection in endoscopic images , 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).

[27]  Mohamed El Ansari,et al.  Multisensors-based pedestrian detection system , 2016, 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA).