| 基于蚁群算法的图像分割方法 |
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| 引用本文： | 高蕊,马磊.基于蚁群算法的图像分割方法[J].宝鸡文理学院学报(自然科学版),2018,38(2):75-78. |
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| 作者姓名： | 高蕊 马磊 |
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| 作者单位： | 宝鸡文理学院电子电气工程学院,陕西宝鸡,721016;宝鸡文理学院电子电气工程学院,陕西宝鸡,721016 |
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| 基金项目： | 陕西省自然科学基础研究计划项目(2014JM8347)，宝鸡市科技计划项目(2013R1-4)，宝鸡文理学院教学改革研究项目(17JGYB21)，宝鸡文理学院校级项目(YK1040) |
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| 摘 要： | 目的提出基于蚂蚁算法的图像分割技术,解决传统的图像分割算法分割图像的效果不理想、不能满足图像分割要求等问题。方法将图像的灰度、梯度和邻域特征组合成蚂蚁,通过MATLAB实现蚁群图像分割算法对图像的外廓提取。结果与结论相对于传统的图像分割算法,基于蚂蚁算法的图像分割算法的外廓提取具有更高的仿真精度,得到的图形外廓更为理想。
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| 关 键 词： | 图像分割 边缘检测 蚁群算法 |
Image segmentation method on the basis of ant colony algorithm |
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| GAO Rui,MA Lei.Image segmentation method on the basis of ant colony algorithm[J].Journal of Baoji College of Arts and Science(Natural Science Edition),2018,38(2):75-78. |
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| Authors: | GAO Rui MA Lei |
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| Abstract: | Purposes—To propose the image segmentation technology on the basis of ant algorithm for the solution to some problems of the traditional image segmentation algorithm ,such as non-ideal segmentation effect and the requirements of image segmentation that are not met .Methods—The gray scale ,gradient and neighborhood characteristics of an image are combined into an ant ,and the ant col-ony image segmentation algorithm is implemented by MATLAB to extract the image outline .Results and Conclusions—Compared with the traditional image segmentation algorithm ,the image segmenta-tion algorithm based on ant algorithm has higher segmentation accuracy ,the obtained graphic outline is more ideal . |
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