Improved multiresolution sequential edge linking and its application in medical image

Jing Wang; Jie Tian

Improved multiresolution sequential edge linking and its application in medical image

Jing Wang^*
, Jie Tian

^*Corresponding author for this work

CAS - Institute of Automation

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Edge detection is the basic operation in image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J. Delp of Purdue University, has a number of advantages over other edge detection schemes. One such advantage is the lower false alarm rate while maintaining full connectivity of the edge. However, the choosing of the initial value is not reasonable. This paper improves the MSEL method and gives some test images. The results show the efficiency of the improvement.

Original language	English
Pages (from-to)	825-829
Number of pages	5
Journal	Jisuanji Xuebao/Chinese Journal of Computers
Volume	24
Issue number	8
State	Published - Aug 2001
Externally published	Yes

Keywords

Edge detection
Initial value
MSEL

Cite this

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title = "Improved multiresolution sequential edge linking and its application in medical image",

abstract = "Edge detection is the basic operation in image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J. Delp of Purdue University, has a number of advantages over other edge detection schemes. One such advantage is the lower false alarm rate while maintaining full connectivity of the edge. However, the choosing of the initial value is not reasonable. This paper improves the MSEL method and gives some test images. The results show the efficiency of the improvement.",

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author = "Jing Wang and Jie Tian",

year = "2001",

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AU - Wang, Jing

AU - Tian, Jie

PY - 2001/8

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N2 - Edge detection is the basic operation in image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J. Delp of Purdue University, has a number of advantages over other edge detection schemes. One such advantage is the lower false alarm rate while maintaining full connectivity of the edge. However, the choosing of the initial value is not reasonable. This paper improves the MSEL method and gives some test images. The results show the efficiency of the improvement.

AB - Edge detection is the basic operation in image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J. Delp of Purdue University, has a number of advantages over other edge detection schemes. One such advantage is the lower false alarm rate while maintaining full connectivity of the edge. However, the choosing of the initial value is not reasonable. This paper improves the MSEL method and gives some test images. The results show the efficiency of the improvement.

KW - Edge detection

KW - Initial value

KW - MSEL

UR - https://www.scopus.com/pages/publications/0035436195

M3 - 文章

AN - SCOPUS:0035436195

SN - 0254-4164

VL - 24

SP - 825

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JO - Jisuanji Xuebao/Chinese Journal of Computers

JF - Jisuanji Xuebao/Chinese Journal of Computers

IS - 8

ER -

Improved multiresolution sequential edge linking and its application in medical image

Abstract

Keywords

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