[1]郑艺泉,谢维波.商空间理论的Hough变换直线提取[J].华侨大学学报(自然科学版),2006,27(2):209-212.[doi:10.3969/j.issn.1000-5013.2006.02.026]
　Zheng Yiquan,Xie Weibo.Hough Transformation Based on Quotient Space Theory for Line Extraction[J].Journal of Huaqiao University(Natural Science),2006,27(2):209-212.[doi:10.3969/j.issn.1000-5013.2006.02.026]
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商空间理论的Hough变换直线提取()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第27卷
期数:
2006年第2期
页码:
209-212
栏目:
出版日期:
2006-04-20

文章信息/Info

Title:
Hough Transformation Based on Quotient Space Theory for Line Extraction
文章编号:
1000-5013(2006)02-0209-04
作者:
郑艺泉; 谢维波
华侨大学信息科学与工程学院; 华侨大学信息科学与工程学院 福建 泉州 362021; 福建 泉州 362021
Author(s):
Zheng Yiquan;  Xie Weibo
College of Information Science and Engineering, Huaqiao University, 362021, Quanzhou, China
关键词:
Hough变换;  粒度计算;  商空间理论;  直线提取
Keywords:
Hough transformation;  granular computing;  quotient space theory;  line extraction
分类号:
TP391.41
DOI:
10.3969/j.issn.1000-5013.2006.02.026
文献标志码:
A
摘要:
Hough变换以其对图像噪声的鲁棒性,一直是参数化图形检测提取的经典工具,尤其是在直线提取方面,但传统的Hough变换存在的一些缺点,限制了Hough变换的应用场合,粒度计算为这些缺点的改进提供思路,文中在全面分析传统Hough变换及其存在缺点的基础上,结合商空间的粒度计算理论模型,提出一种基于商空间理论的Hough变换直线提取算法,实验证明,该算法在算法复杂度、实用性和准确度等各方面都有一定的改善。
Abstract:
Hough Transformation (HT) is famous for its robustness to image noise, and becomes a classical tool for parameterized shape extraction, especially for line extraction. However, some defects in conventional HT limit its application. But, granular computing provides the ways for the improvement of these defects. With complete analysis of conventional HT and its defects, the paper combined HT and quotient space theory, which is a granular computing theory model, presented a line extraction computing method for HT based on quotient space theory. Experiments show that this algorithm made an improvement in algorithm complexity、usefulness and accuracy in practice.

参考文献/References:

[1] Heikki Klviinen, Petri Hirvonen, Lei Xu. Probabilistic and non-probabilistic hough transforms [J]. Overview and Comparisons, 1995(4):239-252.
[2] Zadeh L A. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic [J]. Fuzzy Sets and Systems, 1997(1):117-127.
[3] Zadeh L A. Some reflection on soft computing, granular computing and their roles in the conception design and utilization of information/intelligent systems [J]. Soft Computing, 1998(1):23-25.doi:10.1007/s005000050030.
[4] 张铃, 张钹. 模糊商空间理论(模糊粒度计算方法) [J]. 软件学报, 2003(4):770-776.
[5] 张钹, 张铃. 问题求解理论与应用 [M]. 北京:清华大学出版社, 1990.1-126.

备注/Memo

备注/Memo:
国务院侨务办公室科研基金资助项目(03QZR06)
更新日期/Last Update: 2014-03-23