A new image segmentation method based on human brightness perception and foveal adaptation

被引：20
|
作者：
Heucke, L [1 ]
Knaak, M
Orglmeister, R
机构：
[1] HyperCIS AG, Berlin, Germany
[2] Tech Univ Berlin, Inst Measurement & Automat Technol, Berlin, Germany
[3] Tech Univ Berlin, Inst Elect & Lighting Technol, Berlin, Germany
来源：
IEEE SIGNAL PROCESSING LETTERS | 2000年 / 7卷 / 06期
关键词：
brightness perception; foveal adaptation; image segmentation; object recognition; psychovisual phenomena;
D O I：
10.1109/97.844629
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We propose an algorithm for adaptive image segmentation based on human psychovisual phenomena: visual perception-based segmentation. The new method can reliably segment poor quality images with low contrast and lon SNR's, Due to its adaptability, it can be applied to a wide range of low quality images with different object sizes, In successful: tests with ultrasound and flow field images that are normally difficult to segment, this new method outperforms a conventional texture-based segmentation method as a result of its biological source.
引用
收藏
页码：129 / 131
页数：3
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