Approach for Image Segmentation Based on Improved Visual Attention Mechanism

摘要：

　　The computational model of visual attention mechanism could be used to solve the deficiency of classical image segmentation algorithm such as setting parameter.In view of the Itti model has the problems that edge blur, low efficiency and the saliency map is not obvious, an improved visual attention mechanism is proposed in this paper.It introduces the edge enhancement equation, uses the combination strategy based on weight, and so on.The improved visual attention mechanism combines with the level set method The binarization saliency map is evolved to obtain the image segmentation result.The experiments show that the proposed algorithm outperforms the SVM algorithm, the adaptive threshold algorithm and the Kmeans clustering algorithm in image segmentation, and it shows strong robustness.

关键词： image segmentation visual attention mechanism level set method

作者: Wang Xiaoming Xiong Jiulong Wang Zhihu Zhu Xiayu Zhang Qi

作者单位: School of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China

会议类型: 国际会议

会议名称: 2013 IEEE 11th International Conference on Electronic Measurement & Instruments(第十一届IEEE国际电子测量与仪器学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 1002-1006

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）