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Image Segmentation Using Artificial Intelligence Approaches
Liu Y(刘洋); Hu KY(胡琨元); Zhu YL(朱云龙); Zhang L(张磊); Chen HN(陈瀚宁)
Indexed BySCI
WOS IDWOS:000327045900009
Contribution Rank1
Funding OrganizationThis work was supported in part by the National Science and Technology Support Program under Grant 2012BAF11B04, the National Natural Science Foundation of China under Grant 61105067 and 61174164, and the Engineering research centre of the IOT Information technology integration of Liaoning Province open-funded projects.
AbstractImage segmentation is of great importance in computer vision, face recognition, medical imaging, digital libraries and video retrieval among others. Accurately segmenting an image is always a hot topic. Image segmentation results in a set of areas that collectively cover the entire image, or a set of contours extracted from the image that has a special meaning. All of the pixels in an obtained area are similar in respect some certain characteristics or computed parameters, such as colour, intensity or texture. However, adjacent regions tend to be significantly different in those same characteristics.
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS Research AreaEngineering ; Telecommunications
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Document Type期刊论文
Corresponding AuthorLiu Y(刘洋)
Affiliation1.University of Chinese Academy of Sciences, Beijing, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Liu Y,Hu KY,Zhu YL,et al. Image Segmentation Using Artificial Intelligence Approaches[J]. ELECTRONICS WORLD,2013,119(1931):38-41.
APA Liu Y,Hu KY,Zhu YL,Zhang L,&Chen HN.(2013).Image Segmentation Using Artificial Intelligence Approaches.ELECTRONICS WORLD,119(1931),38-41.
MLA Liu Y,et al."Image Segmentation Using Artificial Intelligence Approaches".ELECTRONICS WORLD 119.1931(2013):38-41.
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