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A novel image segmentation algorithm based on visual saliency detection and integrated feature extraction
Liu, Weiting2; Qing, Xue3; Zhou, Jian1
2016
会议日期October 21, 2016 - October 22, 2016
会议地点Coimbatore, India
关键词Behavioral research Extraction Feature extraction Global optimization Visualization Image segmentation algorithm Numerical performance Research and analysis Segmentation algorithms State of the art Visual attention model Visual saliency Visual saliency detections
DOI10.1109/CESYS.2016.7889899
英文摘要Since 20th century generation, image segmentation has been attached great importance by the people and thousands of the segmentation algorithms have been proposed. In practice, in order to facilitate research and analysis of the images that often only needs to be interested in certain parts of the image part is divided into a certain properties of a particular area, in order to use the target further, we also need to complete for their separation. This paper integrates the visual attention model to propose the novel image segmentation algorithm based on visual saliency detection and the integrated feature extraction. We have achieved the better numerical performance compared with other state-of-the-art methodologies. The propose method integrates the local and the regional features to construct the global optimized saliency map to serve as the basis for segmentation. The entropy of the image is used for determining the threshold and the effectiveness is proved through experiment. © 2016 IEEE.
会议录Proceedings of the International Conference on Communication and Electronics Systems, ICCES 2016
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117707]  
专题兰州理工大学
作者单位1.LanZhou University of Technology, China
2.Sun Yat-sen University, China;
3.Guangdong University of Technology, China;
推荐引用方式
GB/T 7714
Liu, Weiting,Qing, Xue,Zhou, Jian. A novel image segmentation algorithm based on visual saliency detection and integrated feature extraction[C]. 见:. Coimbatore, India. October 21, 2016 - October 22, 2016.
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