Wireless capsule endoscopy images enhancement via adaptive contrast diffusion

Authors:
Baopu Li;Max Q. -H. Meng
Affiliations:
Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen, China and Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong ...;Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
Venue:
Journal of Visual Communication and Image Representation
Year:
2012

Citing 11
Cited 0

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Contrast limited adaptive histogram equalization

Graphics gems IV
Colour Imaging: Vision and Technology

Colour Imaging: Vision and Technology
Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images

CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Scale-space filtering

IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Image enhancement and denoising by complex diffusion processes

IEEE Transactions on Pattern Analysis and Machine Intelligence
Behavioral analysis of anisotropic diffusion in image processing

IEEE Transactions on Image Processing
Anisotropic diffusion of multivalued images with applications to color filtering

IEEE Transactions on Image Processing
Adaptive smoothing respecting feature directions

IEEE Transactions on Image Processing
Adaptive image contrast enhancement using generalizations of histogram equalization

IEEE Transactions on Image Processing
Color image enhancement via chromaticity diffusion

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless capsule endoscopy (WCE) has been widely applied to diagnose diseases in human digestive tract due to its advantage that it can directly view the entire small intestine for the first time. However, many WCE images are rather dark, which challenge to analysis and diagnosis exerted by a clinician. To overcome this shortcoming so as to assist physicians, especially computer aided detection, we propose an adaptive contrast diffusion to enhance WCE images. Based on local analysis of WCE images, we put forward a new idea of contrast diffusion. Then, we employ contrast diffusion to enhance WCE images with an adaptive choice of the conductance parameter, which plays an important role in diffusion. Extensive experiments demonstrate that this new method exhibits promising performance of enhancement for WCE images, leading into a better visualization as well as an improved classification performance of WCE images using computerized methods.