A. Rao, T. Sreenivasu, N. V. Rao, A. Sastry, L. Reddy, T. K. Prabhu
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引用次数: 2
摘要
本文采用George dc . Calvacanti算法，提出了一种新的基于启发式的方法，用于去除具有复杂背景的各类图像的背景噪声。在这种方法中，二值化是通过选择两个阈值来完成的，一个用于前景，另一个用于分离的背景。形态学技术用于提高所得图像的质量。除此之外，还计算了所有图像的PSNR比，并观察了其相对于背景噪声强度的变化。
Binarization of Documents with Complex Backgrounds
In this paper, a novel heuristic based approach adopted from George D.C. Calvacanti algorithm for removing background noise from all types of images with complex background is presented. In this approach Binarization is done by selecting two threshold values, one for foreground and another for background for the separation. Morphological techniques are used for improving the quality of the resultant image. In addition to this PSNR ratio is calculated for all the images and its variation with respect to the intensity of the background noise is observed.
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