中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION
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GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION
Nuseiba M. Altarawneh; Suhuai Luo; Brian Regan; Changming Sun; Fucang Jia
2014
Source PublicationSignal & Image Processing : An International Journal
Subtype期刊论文
AbstractIn this contribution, we develop a novel global threshold-based active contour model. This model deploys a new edge-stopping function to control the direction of the evolution and to stop the evolving contour at weak or blurred edges. An implementation of the model requires the use of selective binary and Gaussian filtering regularized level set (SBGFRLS) method. The method uses either a selective local or global segmentation property. It penalizes the level set function to force it to become a binary function. This procedure is followed by using a regularisation Gaussian. The Gaussian filters smooth the level set function and stabilises the evolution process. One of the merits of our proposed model stems from the ability to initialise the contour anywhere inside the image to extract object boundaries. The proposed method is found to perform well, notably when the intensities inside and outside the object are homogenous. Our method is applied with satisfactory results on various types of images, including synthetic, medical and Arabic-characters images.
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Indexed By其他
Language英语
Department医学图像与数字手术研究室
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/5836
Collection医工所
AffiliationSignal & Image Processing : An International Journal
Recommended Citation
GB/T 7714
Nuseiba M. Altarawneh,Suhuai Luo,Brian Regan,et al. GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION[J]. Signal & Image Processing : An International Journal,2014.
APA Nuseiba M. Altarawneh,Suhuai Luo,Brian Regan,Changming Sun,&Fucang Jia.(2014).GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION.Signal & Image Processing : An International Journal.
MLA Nuseiba M. Altarawneh,et al."GLOBAL THRESHOLD AND REGION-BASED ACTIVE CONTOUR MODEL FOR ACCURATE IMAGE SEGMENTATION".Signal & Image Processing : An International Journal (2014).
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