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用组织抖动法输出伪灰度(二值)图象有着广泛的应用,但该算法有使输出图象轮廓分辨率下降,文字参数网点化等缺点。为此,本文提出一种将组织抖动与分割相结合的新方法,即先用分割技术得到最佳视觉阈值,再将阈值代入改进的变换式,扩展Bayer矩阵,最后对灰度图象进行二值化,实验结果表明,该方法可显著改善输出图象质量。
It is widely used to output false gray (binary) images by tissue dithering method. However, this algorithm has some shortcomings such as the decrease of contour resolution of output images and the meshing of text parameters. To this end, this paper presents a new method of combining tissue jitter and segmentation, that is, using the segmentation technique to get the best visual threshold, and then the threshold into the improved transform to expand the Bayer matrix, and finally the gray image of two The experimental results show that this method can significantly improve the output image quality.