| 一种分形和形态学结合的图像边缘检测算法 |
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| 引用本文： | 高国明,黄汉明,李莉.一种分形和形态学结合的图像边缘检测算法[J].广西师范大学学报(自然科学版),2012,30(1):50-54. |
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| 作者姓名： | 高国明 黄汉明 李莉 |
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| 作者单位： | 1. 广西师范大学 计算机科学与信息工程学院,广西桂林,541004
2. 上海海事大学 物流研究中心,上海,200135 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 分形将灰度图像空间映射到分形维数空间进行边缘检测,形态学利用具有特向性的检测算子进行边缘检测.本文将分形中DFBR模型和改进的形态学方法相结合得到一种新的边缘检测算法.实验结果表明:结合算法具有分形算法的保留图像边缘细节能力和形态学对特殊方向边缘的检测能力,在对含有大量细节图像的边缘提取上优于单一的边缘检测方法,并具有良好的抗噪性能.
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| 关 键 词： | 形态学 分形 离散分数布朗随机场 边缘检测 |
An Edge Detection Algorithm Based on Fractal Features and Mathematical Morphology |
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| GAO Guo-ming
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HUANG Han-ming
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LI Li.An Edge Detection Algorithm Based on Fractal Features and Mathematical Morphology[J].Journal of Guangxi Normal University(Natural Science Edition),2012,30(1):50-54. |
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| Authors: | GAO Guo-ming HUANG Han-ming LI Li |
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| Institution: | 1.College of Computer Science and Information Technology,Guangxi Normal University,Guilin Guangxi 541004,China;2.Logistics Research Center,Shanghai Maritime University,Shanghai 200135,China) |
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| Abstract: | Fractal theory can find edge after mapping the image gray level space to the fractal dimension of space,while the morphological edge detection algorithm is based on directional operators.In this paper,an improved edge detector based on fractal theory and mathematical morphology is presented.The results of experiment show that the new method has the ability of retaining the image edge details and detecting directional edge.It also obtains more effective edge image than that of the single method on processing complex images and suppresses the noise. |
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| Keywords: | morphology fractal DFBR edge detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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