一种基于快速排序的内窥镜图像增强方法

2013 IEEE International Symposium on Consumer Electronics (ISCE) Pub Date : 2013-06-03 DOI:10.1109/ISCE.2013.6570199

Min-Liang Wang, Pin-Zhi Lin, Sheng-lei Yan, Shan Sun, Siao-Cih Chang, J. Su

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引用次数: 1

摘要

本文提出了一种新的内窥镜图像增强方法，该方法利用单个输入图像对由控制因素产生的一组变化图像进行排序。我们采用YUV色彩空间来扩展一组图像，因为色彩空间具有代表亮度、饱和度和色调的分量。因此，依赖于裁剪图像区域的边缘能量，以及从单个输入图像中扩展图像集的排序。该方法仅处理分别选取红、绿、蓝通道图像标量值最大值的通道组合。实验结果表明，该方法对观察结肠息肉是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An endoscopy image enhancement based on fast ranking method

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.

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2013 IEEE International Symposium on Consumer Electronics (ISCE)

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