K-factor shadow removal

被引：0
|
作者：
Taylor, JR [1 ]
Johnson, JL [1 ]
机构：
[1] Austin Peay State Univ, Dept Phys, Clarksville, TN 37044 USA
来源：
OPTICAL PATTERN RECOGNITION X | 1999年 / 3715卷
关键词：
pulses; neural networks; products; image factorization; shadow removal;
D O I：
10.1117/12.341314
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The new image factorization algorithm, the k-factor method, is applied to the problem of shadow removal. Unlike the other technique, PCNN factorization, the k-factor method will completely remove shadows. It has several features that allow automatic or manual control that tailor it to specific applications. Unlike histogram equalization which globally remaps rather than remove shadows, the k-factor method eliminates regional shadows without remapping other regions. The algorithm is presented, numerous examples of its performance shown, and future plans discussed.
引用
收藏
页码：328 / 334
页数：7
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