An endoscopy image enhancement based on fast ranking method

Abstract

This paper presents a novel endoscopic image enhancement method by ranking a set of varying images which generated by the controlling factors using a single input image. We adopt the YUV color space for expanding a set of images due to the color space has components representing luminance, saturation, and hue. Therefore, rely on the edge energy of the cropped image area, and ranking of expanding images set from a single input image. The method only deal with the channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The experimental results show the proposed method is efficient for observing colon polyp.

A mobile medical QR-code authentication system and its automatic FICE image evaluation application

“…It decomposes images by wavelength, then directly produces reconstructed images with enhanced mucosal surface contrast (Nakayoshi et al, 2004) or contour (López-Juárez et al, 2013). The method is efficient and a bit cost-effective to develop; however, Wang et al (2013) mentions about the FICE system not really enhanced endoscopy images for small, abnormal polyp observation. In this study, we would like to develop an image enhancement technique based on the concept of virtual chromoendoscopy system for contrast enhancing the images captured by GI fixable endoscopy.…”

“…We applied the color shifting method (Wang et al, 2013) to generate a series of images. Our eyes are sensitive to light which lies in a very small region of the electromagnetic spectrum labeled visible light.…”

“…They focused on the angular shifts of the primary colors in the visible wavelength range. This paper follows the color shifting method (Wang et al, 2013) to generate a series of images. This study aims to enhance the endoscopy images for better screening rate of GI tract diagnosis.…”

“…In this section, we first briefly introduce the approach for image expansion of single endoscopy in UV space (Wang et al, 2013). The RGB color image first transforms to YUV color space.…”