全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

一种基于粗糙集区域分割和语义分类的方法*

, PP. 287-294

Keywords: 图像理解,粗糙集,图像分割,规则约简,规则推理

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出一种基于粗糙集的图像理解方法.将图像视为一个信息系统,每个像素看作系统中的一个实体对象.引入粗糙集理论中上下近似和核属性的相关概念,采用相容扩展模型下的知识约简方法,对图像处理、分析和解释这3个过程进行分析,提出基于粗糙集的分割算法和知识库规则约简推理方法.通过与Ncuts分割方法及统计学习方法进行理解的实验结果对比,表明算法的可行性和理解的准确性.

References

[1]  Zhang M R, Hall L Q, Goldgof D B. A Generic KnowledgeGuided Image Segmentation and Labeling System Using Fuzzy Clustering Algorithms. IEEE Trans on System, Man and Cybernetics, 2003, 32(5): 571582
[2]  Mohabey A, Bay A K. Rough Set Theory Based Segmentation of Color Images // Proc of the International Conference of the North American Fuzzy Information Processing Society. Atlanta, USA, 2000: 338342
[3]  Mohabey A, Ray A K. Fusion of Rough Set Theoretic Approximations and FCM for Color Image Segmentation // Proc of the IEEE International Conference on Systems, Man, and Cybernetics. Nashville, USA, 2000, Ⅱ: 15291534
[4]  Wang Guoyin. Rough Set Theory and Knowledge Acquisition. Xi’an, China: Xi’an Jiaotong University Press, 2001 (in Chinese) (王国胤. 粗糙集理论与知识获取. 西安: 西安交通大学出版社, 2001)
[5]  Dean T, Allen J, Aloimonos Y. Artificial Intelligence: Theory and Practice. Menlo Park, USA: Benjamin Cummings, 1995
[6]  Xie Zao, Gao Jun, Wang Ronggui. Object Recognition in Simple Background Image Based on Rough Sets. Computer Science, 2004, 31(Z2): 113115 (in Chinese) (谢 昭, 高 隽, 汪荣贵. 基于粗糙集的单背景物体识别. 计算机科学, 2004, 31(Z2): 113115)
[7]  Wang Runsheng. Image Understanding. Changsha, China: National University of Defense Technology Press, 1995 (in Chinese) (王润生. 图像理解. 长沙: 国防科技大学出版社, 1995)
[8]  Puliti P, Tascini G. KnowledgeBased Approach to Image Interpretation. Image and Vision Computing, 1993, 11(3): 122128
[9]  Schutte K. Knowledge Based Recognition of ManMade Objects. Ph.D Dissertation. Enschede, Netherlands: University of Twente. Electrical Engineering Department, 1994
[10]  Carbonetto P, de Freitas N, Barnard K. A Statistical Model for General Contextual Object Recognition // Proc of the 8th European Conference on Computer Vision. Prague, Czech Republic, 2004: 350362
[11]  Tu Z W, Chen X R, Yuille A L, et al. Image Parsing: Unifying Segmentation, Detection, and Recognition. International Journal of Computer Vision, 2005, 63(2): 113140
[12]  Zhang Yujin. Image Segmentation. Beijing, China: Science Press, 2001 (in Chinese) (章毓晋. 图像分割. 北京: 科学出版社, 2001)
[13]  Shi J B, Malik J. Normalized Cuts and Image Segmentation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888905
[14]  Ma W Y, Manjunath B S. EdgeFlow: A Technique for Boundary Detection and Image Segmentation. IEEE Trans on Image Processing, 2000, 9(8): 13751388

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133