EDGE DETECTION USING MORPHOLOGICAL AMOEBAS IN NOISY IMAGES

被引：1

作者：

Lee, Won Yeol ^{[1
]}

Kim, Se Yun ^{[1
]}

Kim, Young Woo ^{[1
]}

Lim, Jae Young ^{[1
]}

Lim, Dong Hoon ^{[2
]}

机构：

[1] Korea Sci Acad, Pusan 614822, South Korea

[2] Gyeongsang Natl Univ, Dept Informat Stat, RINS & RICIC, Jinju 660701, South Korea

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

edge detection; morphological amoeba; structuring element; mathematical morphology; THEORETICAL FOUNDATIONS;

D O I：

10.1109/ICIP.2009.5414067

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Edge detection is a significant step in image processing. Morphological edge detectors developed until now used a fixed structuring element (SE) on all the image pixels; however, they cannot consider the local features of an image due to the fixed SE and we should choose an appropriate SE by lots of experiments. In this paper, new morphological edge detectors using amoebas, dynamic structuring elements which adapt their shapes to image contours, are proposed. The experimental results show that amoeba-based edge detectors have better performance than corresponding classic edge detectors. The proposed methods have less sensitivity to noise while detecting more details of image than other morphological edge detectors with a fixed SE.

引用

页码：2169 / +

页数：3

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