| A Novel Approach for Unsupervised Segmentation of Homogeneous Regions in Gray-scale Images |
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| 引用本文： | 王郁中,杨杰,周大可,郑元杰. A Novel Approach for Unsupervised Segmentation of Homogeneous Regions in Gray-scale Images[J]. 东华大学学报(英文版), 2004, 21(3) |
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| 作者姓名： | 王郁中 杨杰 周大可 郑元杰 |
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| 作者单位： | Institute of Image Processing and Pattern Recognition，Shanghai Jiao Tong University，Shanghai，200030，Institute of Image Processing and Pattern Recognition，Shanghai Jiao Tong University，Shanghai，200030，Institute of Image Processing and Pattern Recognition，Shanghai Jiao Tong University，Shanghai，200030，Institute of Image Processing and Pattern Recognition，Shanghai Jiao Tong University，Shanghai，200030 |
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| 摘 要： | IntroductionImagesegmentationisoneofthemostimportantstepsleadingtotheanalysisofprocessedimagedata—itsmaingoalistodivideanimageintopartsthathaveastrongcorrelationwithobjectsorareasoftherealworldcontainedintheimage.Therefore,imagesegmentationisusefulinmanyapplicationsforidentifyingregionsorobjectsofinterestinasceneorannotatingthedata,includingobjectdetectionandextraction,motiontracking,objectbasedvideocodingetc.However,imagesegmentationisalongstandingproblemincomputervisionanditsverydifficultto…
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A Novel Approach for Unsupervised Segmentation of Homogeneous Regions in Gray-scale Images |
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| WANG Yu-zhong YANG Jie ZHOU Da-keZHENG Yuan-jieInstitute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai. A Novel Approach for Unsupervised Segmentation of Homogeneous Regions in Gray-scale Images[J]. Journal of Donghua University, 2004, 21(3) |
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| Authors: | WANG Yu-zhong YANG Jie ZHOU Da-keZHENG Yuan-jieInstitute of Image Processing Pattern Recognition Shanghai Jiao Tong University Shanghai |
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| Affiliation: | Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200030 |
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| Abstract: | An improved approach for JSEG is presented for unsupervised segmentation of homogeneous regions in gray-scale images. Instead of intensity quantization, an automatic classification method based on scale space-based clustering is used for nonparametric clustering of image data set. Then EM algorithm with classification achieved by space-based classification scheme as initial data used to achieve Gaussian mixture modelling of image data set that is utilized for the calculation of soft J value. Original region growing algorithm is then used to segment the image based on the multiscale soft J-images. Experiments show that the new method can overcome the limitations of JSEG successfully. |
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| Keywords: | JSEG scale space-based clustering Gaussian mixture modelling EM algorithm Soft J value |
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