| 倒数粗糙熵图像阈值化分割算法 |
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| 引用本文： | 范九伦,雷博.倒数粗糙熵图像阈值化分割算法[J].电子与信息学报,2020,42(1):214-221. |
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| 作者姓名： | 范九伦 雷博 |
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| 作者单位： | 1.西安邮电大学通信与信息工程学院 西安 7101212.电子信息现场勘验应用技术公安部重点实验室 西安 710121 |
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| 基金项目： | 国家自然科学基金(61671377, 61571361, 61601362)，西安邮电大学西邮新星团队项目(xyt2016-01) |
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| 摘 要： | 基于粗糙集理论的粗糙熵阈值法不需要图像之外的先验信息。粗糙熵阈值法需要解决两个问题，一是图像信息不完整性的度量，二是图像的粒化。该文基于倒数信息熵，提出一种倒数粗糙熵用来度量图像中信息的不完整性。为了更好地对图像进行粒化，采用一种基于均匀性直方图的粒子选取方式。该文提出的倒数粗糙熵表述简洁，计算简单。实验验证了该文方法的有效性。
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| 关 键 词： | 图像处理 阈值分割 粗糙熵 倒数粗糙熵 粒化 |
| 收稿时间： | 2019-07-25 |
Image Thresholding Segmentation Method Based on Reciprocal Rough Entropy |
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| Jiulun FAN,Bo LEI.Image Thresholding Segmentation Method Based on Reciprocal Rough Entropy[J].Journal of Electronics & Information Technology,2020,42(1):214-221. |
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| Authors: | Jiulun FAN Bo LEI |
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| Affiliation: | 1.School of Communication and Information Engineering, Xi’an University of Posts & Telecommunications, Xi’an 710121, China2.Key Laboratory of Electronic Information Application Technology for Scene Investigation, Public Security Ministry, Xi’an 710121, China |
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| Abstract: | Image thresholding methods based on the rough entropy segment the images without prior information except the images. There are two problems to be considered in the rough entropy based thresholding methods, i.e., measuring the incompleteness of knowledge about an image and granulating the image. In this paper, reciprocal rough entropy, a new form of rough entropy, is defined to measure the incompleteness of the image information. In order to granulate the image effectively, a granule size selection method based on the homogeneity histogram is employed. The proposed reciprocal rough entropy is simple in expression and calculation. The experimental results verify the effectiveness of the proposed algorithm. |
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