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Recursive sub-image histogram equalization applied to gray scale images

机译:递归子图像直方图均衡应用于灰度图像

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摘要

A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogram equalization (HE) for gray scale images. Compared to some of the conventional HE methods, such as bi-histogram equalization and recursive mean-separate histogram equalization, the proposed RSIHE method yields better image compensation. The scanning electron microscope images are used as test images to evaluate the efficiency of the developed algorithm. The algorithm is implemented in software with a frame grabber card, forming the front-end video capture element.
机译:为了克服灰度图像的通用直方图均衡化(HE)的缺点,开发了一种新颖的递归子图像直方图均衡化(RSIHE)。与某些传统的HE方法(如双直方图均衡和递归均值分离直方图均衡)相比,所提出的RSIHE方法产生了更好的图像补偿。扫描电子显微镜图像用作测试图像,以评估所开发算法的效率。该算法在带有帧捕获卡的软件中实现,从而构成了前端视频捕获元素。

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