| 基于混合蛙跳算法改进的OTSU遥感图像分割方法 |
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| 引用本文： | 路彬彬,贾振红,何迪,杨杰,庞韶宁.基于混合蛙跳算法改进的OTSU遥感图像分割方法[J].计算机应用与软件,2011(9). |
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| 作者姓名： | 路彬彬 贾振红 何迪 杨杰 庞韶宁 |
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| 作者单位： | 新疆大学信息科学与工程学院;上海交通大学图像处理与模式识别研究所;新西兰奥克兰理工大学知识工程与开发研究所; |
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| 基金项目： | 科技部国际科技合作项目(2009DFA12870) |
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| 摘 要： | 阈值的快速选取和噪声处理对图像分割起着至关重要的作用。针对遥感图像分割过程中阈值快速选取和噪声处理的问题,首次提出一种基于混合蛙跳算法优化改进的OTSU遥感图像快速分割算法。该算法首先对图像进行处理,引入一个邻域的空间和灰度相似测量因子来进行抗噪并且保护图像细节。再以最大类间方差作为混合蛙跳算法适应度函数,通过混合蛙跳算法的局部搜索和全局信息交换来快速确定图像分割的全局最佳阈值。实验结果表明,与传统OTSU图像分割算法及基本遗传算法改进的二维OTSU图像分割算法相比,该算法能更有效地去除噪声的干扰,算法运算效率更高。
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| 关 键 词： | 遥感图像分割 OTSU 邻域空间信息 邻域灰度信息 混合蛙跳算法 |
REMOTE-SENSING IMAGE SEGMENTATION METHOD BASED ON IMPROVED OTSU AND SHUFFLED FROG-LEAPING ALGORITHM |
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| Lu Binbin Jia Zhenhong He Di Yang Jie Pang Shaoning.REMOTE-SENSING IMAGE SEGMENTATION METHOD BASED ON IMPROVED OTSU AND SHUFFLED FROG-LEAPING ALGORITHM[J].Computer Applications and Software,2011(9). |
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| Authors: | Lu Binbin Jia Zhenhong He Di Yang Jie Pang Shaoning |
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| Affiliation: | Lu Binbin1 Jia Zhenhong1 He Di1 Yang Jie2 Pang Shaoning3 1(College of Information Science and Engineering,Xinjiang University,Urumqi 830046,Xinjiang,China) 2(Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai 200240,China) 3(Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 1020,New Zealand) |
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| Abstract: | Fast selection of threshold and noise processing plays an important role in image segmentation.Aiming at these two issues in remote-sensing image segmentation process,an improved fast OTSU remote-sensing image segmentation algorithm based on the shuffled frog-leaping algorithm is proposed for the first time in the article.The algorithm first processes the image by introducing a similarity measuring factor incorporating both the neighbourhood spatial and gray-level relationships into the segmentation algorit... |
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| Keywords: | Remote-sensing image segmentation OTSU Neighbourhood spatial information Neighbourhood gray-level information Shuffled frog-leaping algorithm |
| 本文献已被 CNKI 等数据库收录！ |
