Title :
A fast region of interest extraction approach based on stentiford model of visual attention
Author :
Jing, Zhang ; Li, Zhuo ; Zhixing, Liu ; Lei, Sui
Author_Institution :
Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China
Abstract :
The model of visual attention proposed by Stentiford can effectively identify salient regions of an image. Since Stentiford model is produced by using evolutionary programming (EP), which usually involves a lot of computation, a fast region of interest (ROI) extraction approach is proposed. The input image is firstly bilinear down-sampled. The visual attention map is calculated with occurrence frequency of a region in the image. The candidate ROI is obtained after filling holes and filtering isolated points. The actual ROI is extracted by scaling the candidate ROI with bilinear interpolation. Experimental results show that the proposed approach can faster extract ROI, and have a more accurate ROI detection as well.
Keywords :
evolutionary computation; feature extraction; filtering theory; image sampling; interpolation; ROI detection; Stentiford model; bilinear interpolation; evolutionary programming; fast region of interest extraction approach; isolated point filtering; visual attention map model; Computational modeling; Gray-scale; Image segmentation; Interpolation; Pixel; Programming; Visualization; Stentiford model; evolutionary programming; region of interest extraction; visual attention;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555482
