Title :
An endoscopy image enhancement based on fast ranking method
Author :
Min-Liang Wang ; Pin-Zhi Lin ; Sheng-Lei Yan ; Shan-Cyun Sun ; Siao-Cih Chang ; Jenn-Lung Su
Author_Institution :
Asian Inst. of TeleSurg., Med. Image Res. Dept., IRCAD, Taiwan
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.
Keywords :
biomedical optical imaging; endoscopes; image colour analysis; image enhancement; medical image processing; YUV color space; blue channel image; colon polyp; cropped image area edge energy; endoscopy image enhancement; fast ranking method; green channel image; hue; image ranking; luminance; maximum scalar values; red channel image; saturation; Color; Endoscopes; Green products; Image color analysis; Image edge detection; Imaging; Tumors;
Conference_Titel :
Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-6198-9
DOI :
10.1109/ISCE.2013.6570199
