Suitable Features for Visual Saliency Computation in Monochrome Images

摘要：

Saliency computation must consider usage of suitable combination of features along with an appropriate model to deliver desired performance. In this paper, important features for visual saliency computation are identified by analysing the performance of all possible combinations of a set of common candidate features. Combination of intensity and orientation is found to be suitable for monochrome images. Principal component analysis (PCA) on selected features is also performed. Usage of only the first principal component of selected features achieves good performance and reduces feature channels to save computational resources to a great extent.

作者: Rajarshi Pal Pabitra Mitra Jayanta Mukhopadhyay

作者单位: Center for Soft Computing Research Indian Statistical Institute Kolkata, India Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur India

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1478-1481

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）