COLOR CORRECTION FOR HIGH-DEFINITION ELECTRONIC ENDOSCOPE  

作　　者：CHEN JING WANG LI-QIANG MENG ZI-BO YUAN BO DUAN HUI-LONG 

机构地区：[1]State Key Laboratory of Modern Optical Instrumentation Zhejiang University,Hangzhou,Zhejiang 310027,P.R.China [2]Biomedical Engineering Institute,Zhejiang University Hangzhou,Zhejiang 310027,P.R.China

出　　处：《Journal of Innovative Optical Health Sciences》2012年第4期57-63,共7页创新光学健康科学杂志（英文）

基　　金：supported by grants from National Key Technology R&D Program(Grant No.:2011BAI12B06);the Fundamental Research Funds for the Central Universities(Grant No.:2012FZA5023).

摘　　要：The subtle color distinction is the important function of electronic endoscope imaging diagnosis.However,after image acquisition,transmission and display,color distortions of intracorporeal organs or tissues occur inevitably,which are adverse to analyze image features accurately or to diagnose early pathological changes.A real-time color correction algorithm based on fourneighborhood and polynomial regression in YUV color space is proposed.Based on polynomial regression the color correction matrix is calculated in YUV color space according to the dierences between standard values of color checker and measured values of that imaged by the endoscope.As the correction is only executed on U and V components in YUV color space,the defect that the color of corrected images in RGB color space will change along with luminance can be avoided,and then the stability of image color is improved.Owing to four-neighborhood processing,the signal-to-noise ratio of corrected images is enhanced and the processing speed of correction algorithm is accelerated.The average color dierence is reduced from 0.3944 to 0.2850 by application of the proposed algorithm in high-denition electronic endoscope.A total of 17 frames per second can be achieved at the resolution of 1280
800,and the color characteristics of the image after processing match that of human visual system.

关 键 词：High-de¯nition electronic endoscope color correction polynomial regression fourneighborhood 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]