Image processing operations in color space using finite-state machines

被引：1
|
作者：
Waltz, FM
机构：
来源：
MACHINE VISION SYSTEMS FOR INSPECTION AND METROLOGY VII | 1998年 / 3521卷
关键词：
image color spaces; binary morphology; grey-scale morphology; separability; finite-state machines;
D O I：
10.1117/12.326972
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The SKIPSM (Separated- Kernel Image Processing using finite-State Machines) has recently been extended with excellent results to various grey-scale operations (morphology, Gaussian Blur, ranked filters, etc.) as well as 3-dimensional binary operations. Another interesting direction, initiated in this paper, is the extension to color spaces. After a discussion of some possible goals of such image processing, this paper presents implementation techniques and examples. Because of the extra costs involved with the printing of colored images in journals, the example images are presented here in grey-scale only. Color images will be provided via e-mail on request.
引用
收藏
页码：298 / 303
页数：6
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