| 基于凹点匹配的粘连颗粒图像分割算法 |
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| 引用本文： | 白莉娜.基于凹点匹配的粘连颗粒图像分割算法[J].南阳理工学院学报,2014(6):53-55. |
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| 作者姓名： | 白莉娜 |
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| 作者单位： | 福州大学物理与信息工程学院,福建福州350108 |
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| 基金项目： | 国家自然科学基金（61170147） |
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| 摘 要： | 针对颗粒图像中粘连区域不易分割的问题,提出了一种基于凹点匹配的分割算法。首先对图像进行预处理、阈值分割及形态学处理,再利用链码边界跟踪,计算分割结果中粘连区域边界曲率,找出图像中的凹点,最后根据判断准则对凹点进行匹配,并用分割线连接匹配的凹点,对粘连颗粒进行分割。通过对多幅颗粒粘连图像进行试验,结果表明该算法有较好的效果。
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| 关 键 词： | 凹点匹配 曲率 粘连 颗粒图像 |
PARTICLE IMAGE SEGMENTATION ALGORITHM BASED ON CONCAVE POINT MATCHING |
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| BAI Li-na.PARTICLE IMAGE SEGMENTATION ALGORITHM BASED ON CONCAVE POINT MATCHING[J].Journal of Nanyang Institute of Technology,2014(6):53-55. |
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| Authors: | BAI Li-na |
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| Institution: | BAI Li-na (College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China) |
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| Abstract: | It＇ s difficult to separate the adhere regions in particle images, so a segmentation algorithm based on concave points matching is proposed. First, preprocess the image and then segment by thresholding algorithm, use chain code for boundary tracking, calculate the segmentation results boundary for it＇ s curvature, then find the concave points. According to criterion match the concaves with a split line. Multiple images of particle has been tested and the results show that the algorithm has a good effect. |
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| Keywords: | concave point matching curvature adhesion particle Image |
| 本文献已被 CNKI 维普 等数据库收录！ |
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