| 一种自动识别最优阈值的图像分割方法 |
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| 引用本文： | 陈敏. 一种自动识别最优阈值的图像分割方法[J]. 计算机应用与软件, 2006, 23(4): 85-86 |
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| 作者姓名： | 陈敏 |
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| 作者单位： | 成都信息工程学院光电技术系,四川,成都,610041 |
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| 摘 要： | 阈值分割是图像分割的常用方法，但至今没有一种对多数图像都适用的阈值选择的通用方法。本文基于图像的灰度级特征，以前景和背景最大程度地分开为判据，提出了一种简捷的自动识别最优阈值的图像分割方法。该方法对更多图像都可以给出最佳的闽值，达到较好的图像分割效果。
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| 关 键 词： | 图像分割 自适应阈值 阈值选择 |
| 收稿时间： | 2004-02-20 |
| 修稿时间： | 2004-02-20 |
AN AUTOMATIC RECOGNITION METHOD OF THE BEST THRESHOLD FOR IMAGE |
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| Chen Min. AN AUTOMATIC RECOGNITION METHOD OF THE BEST THRESHOLD FOR IMAGE[J]. Computer Applications and Software, 2006, 23(4): 85-86 |
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| Authors: | Chen Min |
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| Affiliation: | Department of Optoelectronic Technology, Chengdu University of Information Technology, Chengdu Sichuan 610041, China |
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| Abstract: | Thresholding is a popular technique for image segmentation, but there is no unified method to be suitable for all images. In this paper, we present a fast adaptive thresholding method for image, according to making object and background separated completely. This method can give a best threshold for each image to obtain a good impact of image segmentation. |
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| Keywords: | Image segmentation Adaptive threshold Threshold selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
