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| 基于区域生长的鱼眼图像轮廓提取算法 | |
| 引用本文： | 杨丹,游磊,张小洪,李博.基于区域生长的鱼眼图像轮廓提取算法[J].计算机工程,2010,36(8):217-218. |
| 作者姓名： | 杨丹 游磊 张小洪 李博 |
| 作者单位： | 1. 重庆大学软件学院,重庆,400030 2. 重庆大学数理学院,重庆,400030 3. 重庆大学计算机学院,重庆,400030 |
| 基金项目： | 重庆科技攻关计划基金资助项目(CSTC2009AC2057) |
| 摘 要： | 以图像二值化为前提，使用基于区域生长的改进算法，获取图像轮廓，实现鱼眼图像校正，克服鱼眼图像轮廓区域内出现大量黑色像素使面积统计算法失效的缺点。仿真实验表明，该算法精度高、效率高，能够获得满意的校正结果。 |
| 关 键 词： | 鱼眼图像 区域生长 轮廓提取 非线性最小二乘拟合 |
| 修稿时间： | |
Fisheye Image Contour Extraction Algorithm Based on Region Growing |
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| YANG Dan,YOU Lei,ZHANG Xiao-hong,LI Bo.Fisheye Image Contour Extraction Algorithm Based on Region Growing[J].Computer Engineering,2010,36(8):217-218. | |
| Authors: | YANG Dan YOU Lei ZHANG Xiao-hong LI Bo |
| Affiliation: | (1. College of Software, Chongqing University, Chongqing 400030; 2. College of Mathematics & Physics, Chongqing University, Chongqing 400030; 3. College of Computer, Chongqing University, Chongqing 400030) |
| Abstract: | On the premise of image binary, image contour is obtained by means of an improved algorithm based on region growing, image correction can be completed. It can overcome the shortage that massive black pixels appear in the fisheye image circular outline area and make the statistical algorithm fail. Simulation results show that the proposed algorithm has advantage of high precision and high efficiency, satisfactory results are obtained. |
| Keywords: | fisheye image region growing contour extraction nonlinear least square fitting |
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