Edge Detection using Morphological Amoebas in Noisy Images

被引：0

作者：

Lee, Won Yeol ^{[1
]}

Kim, Se Yun ^{[1
]}

Kim, Young Woo ^{[1
]}

Lim, Jae Young ^{[1
]}

Lim, Dong Hoon ^{[2
,3
]}

机构：

[1] Korea Sci Acad, Busan, South Korea

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

[3] Gyeongsang Natl Univ, RINS, RICIC, Jinju 660701, South Korea

来源：

KOREAN JOURNAL OF APPLIED STATISTICS | 2009年 / 22卷 / 03期

关键词：

Noisy images; mathematical morphology; amoeba; edge detection; structuring element;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Edge detection in images has been widely used in image processing system and computer vision. Morphological edge detection has used structuring elements with fixed shapes. This paper presents morphological operators with non-fixed shape kernels, or amoebas, which take into account the image contour variations to adapt their shape. Experimental results are analyzed in both qualitative analysis through visual inspection and quantitative analysis with PFOM and ROC curves. The Experiments demonstrate that these novel operators outperform classical morphological operations with a fixed, space-invariant structuring elements for edge detection applications.

引用

页码：569 / 584

页数：16

共 14 条

[1] A COMPUTATIONAL APPROACH TO EDGE-DETECTION
CANNY, J
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (06) : 679 - 698
[2] A multi-scale morphologic edge detector
Chanda, B
Kundu, MK
Padmaja, YV
[J]. PATTERN RECOGNITION, 1998, 31 (10) : 1469 - 1478
[3] Research on edge detection of gray-scale image corrupted by noise based on multi-structuring elements
Fan, LN
Wen, Y
Xu, XH
[J]. PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PDCAT'2003, PROCEEDINGS, 2003, : 840 - 843
[4] Gonzalez R.C., 1993, DIGITAL IMAGE PROCES
[5] MORPHOLOGICAL EDGE-DETECTION
LEE, JSJ
HARALICK, RM
SHAPIRO, LG
[J]. IEEE JOURNAL OF ROBOTICS AND AUTOMATION, 1987, 3 (02): : 142 - 156
[6] Lerallut R., 2005, IMAGE PROCESSING, V1, P109
[7] Image filtering using morphological amoebas
Lerallut, Romain
Decenciere, Etienne
Meyer, Fernand
[J]. IMAGE AND VISION COMPUTING, 2007, 25 (04) : 395 - 404
[8] Pratt W. K., 1978, DIGITAL IMAGE PROCES
[9] Roushdy M., 2006, GVIP J, V6, P17
[10] ROBUST EDGE DETECTOR BASED ON MORPHOLOGICAL FILTERS
SONG, XD
NEUVO, Y
[J]. PATTERN RECOGNITION LETTERS, 1993, 14 (11) : 889 - 894

← 1 2 →