Using reinforcement learning for image thresholding

被引：0

作者：

Shokri, M ^{[1
]}

Tizhoosh, HR ^{[1
]}

机构：

[1] Univ Waterloo, Fac Engn, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada

来源：

CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY | 2003年

关键词：

reinforcement learning; image processing; image thresholding;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a reinforcement-learning concept to find the optimal threshold for digital images. The proposed approach can integrate human expert knowledge in an objective or subjective way to overcome the shortcomings of existing methods.

引用

页码：1231 / 1234

页数：4

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