Study on improved arithmetic of image segmentation

Yun Jia; Yan Ding; Ze Ping Liu

Study on improved arithmetic of image segmentation

Yun Jia^*, Yan Ding, Ze Ping Liu

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

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

6 Citations (Scopus)

Abstract

The general arithmetic of image segmentation is introduced. Because of the difference of images, the methods selecting threshold have different mathematic ways. The arithmetic based on statistical character of gray and iterative theory is improved. In addition, efforts are done in partial segment. The result shows that the improved arithmetic works is better in integrality and consistency of image.

Original language	English
Pages (from-to)	155-157
Number of pages	3
Journal	Guangxue Jishu/Optical Technique
Volume	31
Issue number	1
Publication status	Published - Jan 2005

Keywords

Edge detection
Edge intensity
Image segmentation
Threshold

Cite this

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title = "Study on improved arithmetic of image segmentation",

abstract = "The general arithmetic of image segmentation is introduced. Because of the difference of images, the methods selecting threshold have different mathematic ways. The arithmetic based on statistical character of gray and iterative theory is improved. In addition, efforts are done in partial segment. The result shows that the improved arithmetic works is better in integrality and consistency of image.",

keywords = "Edge detection, Edge intensity, Image segmentation, Threshold",

author = "Yun Jia and Yan Ding and Liu, {Ze Ping}",

year = "2005",

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language = "English",

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pages = "155--157",

journal = "Guangxue Jishu/Optical Technique",

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T1 - Study on improved arithmetic of image segmentation

AU - Jia, Yun

AU - Ding, Yan

AU - Liu, Ze Ping

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AB - The general arithmetic of image segmentation is introduced. Because of the difference of images, the methods selecting threshold have different mathematic ways. The arithmetic based on statistical character of gray and iterative theory is improved. In addition, efforts are done in partial segment. The result shows that the improved arithmetic works is better in integrality and consistency of image.

KW - Edge detection

KW - Edge intensity

KW - Image segmentation

KW - Threshold

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M3 - Article

AN - SCOPUS:14344250491

SN - 1002-1582

VL - 31

SP - 155

EP - 157

JO - Guangxue Jishu/Optical Technique

JF - Guangxue Jishu/Optical Technique

IS - 1

ER -

Study on improved arithmetic of image segmentation

Abstract

Keywords

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