An edge-based algorithm for discontinuity adaptive color image smoothing

被引：1
|
作者：
Kang, DJ
Kweon, IS
机构：
[1] Samsung Adv Inst Technol, Signal Proc Lab, Suwon 440600, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Elect Engn, Robot & Comp Vis Lab, Seoul, South Korea
来源：
PATTERN RECOGNITION | 2001年 / 34卷 / 02期
关键词：
discontinuities; image edges; image smoothing; color segmentation; Markov random fields;
D O I：
10.1016/S0031-3203(99)00225-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a new scheme to increase the performance of edge-preserving image smoothing algorithm from the parameter tuning of a Markov random field (MRF) function. This method is based on an automatic control of the image-smoothing strength in the MRF function in which the parameter control of the function depends on edge magnitude resulted from discontinuities of image intensity. Without any binary decision for the edge magnitude, direct use of full edge magnitude could improve the performance of discontinuity-preserving image smoothing technique. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：333 / 342
页数：10
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