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Fast unsupervised texture segmentation using Texel similarity map
Wang, Xiaoyan1; Yang, Minghao2; Xia, Ming1; Zhan, Yongsong3; Shi, Lihui4; Ma, Chuanyan4; Tao, Jianhua2; Chen, Shengyong1
Source PublicationJOURNAL OF MODERN OPTICS
2015
Volume62Issue:15Pages:1211-1222
SubtypeArticle
AbstractUnsupervised texture segmentation is a challenging topic in computer vision. It is difficult to obtain boundaries of texture regions automatically in real-time, especially for cluttered images. This paper presents a new fast unsupervised texture segmentation method. First, the Texel similarity map (TSM) is used to compare the changes of intensity and gray level of neighboring pixels to determine whether they are identical. Then, a scheme called multiple directions integral images (MDII) is proposed to quickly evaluate the TSM. With the aid of MDII, one pixel's similarity value can be computed in constant time. Finally, the proposed segmentation method is tested on both artificial texture and natural images. Experimental results show that the proposed method performs well on a wide range of images, and outperforms state-of-the-art method on segmentation speed.
KeywordUnsupervised Texture Segmentation Texel Similarity Map Multiple Directions Integral Images Image Processing
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordVISUAL-PERCEPTION ; OBJECT DETECTION ; GABOR FILTERS ; INFORMATION ; ALGORITHM ; FEATURES
Indexed BySCI
Language英语
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000359164500003
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8891
Collection模式识别国家重点实验室_语音交互
Affiliation1.Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China
4.Beijing Inst Special Electrometr Technol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Xiaoyan,Yang, Minghao,Xia, Ming,et al. Fast unsupervised texture segmentation using Texel similarity map[J]. JOURNAL OF MODERN OPTICS,2015,62(15):1211-1222.
APA Wang, Xiaoyan.,Yang, Minghao.,Xia, Ming.,Zhan, Yongsong.,Shi, Lihui.,...&Chen, Shengyong.(2015).Fast unsupervised texture segmentation using Texel similarity map.JOURNAL OF MODERN OPTICS,62(15),1211-1222.
MLA Wang, Xiaoyan,et al."Fast unsupervised texture segmentation using Texel similarity map".JOURNAL OF MODERN OPTICS 62.15(2015):1211-1222.
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