基于无色差表面识别的高清电子内窥镜自动白平衡算法

Auto white-balance algorithm of high-definition electronic endoscop

  • 摘要: 在不同色温的光源下,CMOS图像传感器采集到的图像颜色会有所不同,可能偏离真实色彩,导致成像质量下降,严重时将影响高清电子内窥镜的诊断结果。提出了一种基于无色差表面识别的自动白平衡算法,使用像素点的RGB 三通道之和识别图像中的无色差表面,根据得到的无色差像素集估计光照色度,并用光照色度估计值通过对角变换进行颜色校正,以此对内窥镜图像进行了实时的自动白平衡算法,修正偏色现象。该算法实时、有效地消除了由于光源色温引起的颜色失真现象,使得高清电子内窥镜获得的图像更加接近标准白光照射下人眼所看到的情况。

     

    Abstract: Under the different color temperature of light sources, the colors of images obtained by CMOS image sensors will be different, it was likely to happen that it deviate from the real color, resulting in a decline of image quality, seriously affecting the effective of high -definition electronic endoscope. Proposes an auto white-balance algorithm based on achromatic surface detection, using the sum of RGB three -channel of each pixel to detect the achromatic surface. With the achromatic pixels set, the illumination chromaticity was estimated, and then correct the colors of image, through the diagonal transformation of endoscope image in real -time auto white -balance algorithm, modified the color deviation phenomenon. This real time, effectively algorithm eliminates the color deviation phenomenon caused by different illuminate condition, which is in accord with the color with the color characteristic of human visual system.

     

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