Saliency-based image processing for retinal prostheses

被引:54
|
作者
Parikh, N. [1 ]
Itti, L. [2 ]
Weiland, J. [1 ,3 ]
机构
[1] Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA
[2] Univ So Calif, Dept Comp Sci Psychol & Neurosci, Los Angeles, CA 90089 USA
[3] Univ So Calif, Dept Ophthalmol, Los Angeles, CA 90089 USA
基金
美国国家科学基金会;
关键词
VISUAL-ATTENTION; GUIDED SEARCH; SHIFTS; MODEL;
D O I
10.1088/1741-2560/7/1/016006
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We present a computationally efficient model for detecting salient regions in an image frame. The model when implemented on a portable, wearable system can be used in conjunction with a retinal prosthesis, to identify important objects that a retinal prosthesis patient may not be able to see due to implant limitations. The model is based on an earlier saliency detection model but has a reduced number of parallel streams. Results of a comparison between the areas detected as salient by the algorithm and areas gazed at by human subjects in a set of images show a correspondence which is greater than what would be expected by chance. Initial results for a comparison of the execution speed of the two algorithm models for each frame on the TMS320 DM642 Texas Instruments Digital Signal Processor suggest that the proposed model is approximately ten times faster than the original saliency model.
引用
收藏
页数:10
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