Automatic Contrast Enhancement for Wireless Capsule Endoscopy Videos with Spectral Optimal Contrast-Tone Mapping
Wireless capsule endoscopy (WCE) is a revolutionary imaging method for visualizing gastrointestinal tract in patients. Each exam of a patient creates large-scale color video data typically in hours and automatic computer aided diagnosis (CAD) are of important in alleviating the strain on expert gastroenterologists. In this work we consider an automatic contrast enhancement method for WCE videos by using an extension of the recently proposed optimal contrast-tone mapping (OCTM) to color images. By utilizing the transformation of each RGB color from of the endoscopy video to the spectral color space La*b* and utilizing the OCTM on the intensity channel alone we obtain our spectral OCTM (SOCTM) approach. Experimental results comparing histogram equalization, anisotropic diffusion and original OCTM show that our enhancement works well without creating saturation artifacts in real WCE imagery.
KeywordsContrast enhancement Wireless capsule Endoscopy Contrast tone mapping Spectral
We would like to thank the Gastroenterologists Dr. R. Shankar, Dr. A. Sebastian from Vellore Christian Medical College Hospital, India for their help in interpreting WCE imagery.
- 2.Figueiredo, P.N., Figueiredo, I.N., Prasath, S., Tsai, R.: Automatic polyp detection in PillCam COLON 2 capsule images and videos: preliminary feasibility report. Diagn. Ther. Endosc. 2011, Article ID 182435, 16 p (2011)Google Scholar
- 3.Prasath, V.B.S., Pelapur, R., Palaniappan, K.: Multi-scale directional vesselness stamping based segmentation for polyps from wireless capsule endoscopy. In: 36th IEEE EMBS International Conference, Chicago, USA (2014)Google Scholar
- 4.Zabulis, X., Argyros, A.A., Tsakiris, D.P.: Lumen detection for capsule endoscopy. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3912–3926, Nice, France (2008)Google Scholar
- 5.Prasath, V.B.S., Figueiredo, I.N., Figueiredo, P.N., Palaniappan, K.: Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours. In: 34th IEEE EMBS International Conference, pp. 4014–4017, San Diego, USA (2012)Google Scholar
- 6.Prasath, V.B.S., Figueiredo, I.N., Figueiredo, P.N.: Colonic mucosa detection in wireless capsule endoscopic images and videos. In: Proceedings of the Congress on Numerical Methods in Engineering (CMNE), Coimbra, Portugal, June 2011Google Scholar
- 9.Prasath, V.B.S., Singh, A.: Controlled inverse diffusion models for image restoration and enhancement. In: IEEE International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 90–94, Nagpur, India (2008)Google Scholar