| 基于误差扩散的图像二值化 |
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| 引用本文： | 焦雪,张树功. 基于误差扩散的图像二值化[J]. 吉林大学学报(理学版), 2014, 52(3): 541-545 |
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| 作者姓名： | 焦雪 张树功 |
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| 作者单位： | 吉林大学 数学研究所, 长春 130012 |
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| 基金项目： | 国家自然科学基金(批准号:11171133) |
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| 摘 要： | 将传统误差扩散法应用于灰度图像的二值化中, 根据图像的灰度级分布情况将图像分为两类, 并结合误差扩散思想分别对每类图像进行处理. 结果表明, 处理后得到的二值图像可模拟连续灰度图像, 更符合人眼的视觉特性.
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| 关 键 词： | 图像二值化 误差扩散法 灰度级 |
| 收稿时间： | 2013-05-20 |
Error Diffusion Based Image Binarization |
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| JIAO Xue,ZHANG Shugong. Error Diffusion Based Image Binarization[J]. Journal of Jilin University: Sci Ed, 2014, 52(3): 541-545 |
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| Authors: | JIAO Xue ZHANG Shugong |
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| Affiliation: | Institute of Mathematics, Jilin University, Changchun 130012, China |
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| Abstract: | An improved method about the classical algorithm of error diffusion was proposed and applied to the binarization of gray|level image. The images were divided into two categories according to their grayscale distribution, which were processed respectively under the consideration of the ideology of error diffusion. Experiment results indicate that the binary image having been processed can simulate the continous|tone gray image, which is coincident with the human visual properties furthermore. |
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| Keywords: | image binarization error diffusion algorithm grayscale |
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