Fast texture image segmentation

De Chen Zhan; Kuan Jing Shen; Jing Chun Chen; Zhong Rong Li

Fast texture image segmentation

De Chen Zhan^*
, Kuan Jing Shen
, Jing Chun Chen
, Zhong Rong Li

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Texture image, which is applied in many fields, is composed of two kinds of regions and between them there is a high contrast. Although the texture image may be not have a certain run in the whole image, it has a certain run in a small window or local area. By the use of the run information, we can easily determine local threshold to segment the image. In this paper, a fast segmentation algorithm based on cross threshold selection is presented. Through the use of pipe-line technology both in x- and in y-directions of image plane simutaniously, the algorithm is able to not only get a good segmented image, but also save much time even in SISD computer.

Original language	English
Pages (from-to)	277-282
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1349
State	Published - 1990
Event	Applications of Digital Image Processing XIII - San Diego, CA, USA Duration: 10 Jul 1990 → 13 Jul 1990

Cite this

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title = "Fast texture image segmentation",

abstract = "Texture image, which is applied in many fields, is composed of two kinds of regions and between them there is a high contrast. Although the texture image may be not have a certain run in the whole image, it has a certain run in a small window or local area. By the use of the run information, we can easily determine local threshold to segment the image. In this paper, a fast segmentation algorithm based on cross threshold selection is presented. Through the use of pipe-line technology both in x- and in y-directions of image plane simutaniously, the algorithm is able to not only get a good segmented image, but also save much time even in SISD computer.",

author = "Zhan, \{De Chen\} and Shen, \{Kuan Jing\} and Chen, \{Jing Chun\} and Li, \{Zhong Rong\}",

year = "1990",

language = "英语",

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pages = "277--282",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Applications of Digital Image Processing XIII ; Conference date: 10-07-1990 Through 13-07-1990",

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T1 - Fast texture image segmentation

AU - Zhan, De Chen

AU - Shen, Kuan Jing

AU - Chen, Jing Chun

AU - Li, Zhong Rong

PY - 1990

Y1 - 1990

N2 - Texture image, which is applied in many fields, is composed of two kinds of regions and between them there is a high contrast. Although the texture image may be not have a certain run in the whole image, it has a certain run in a small window or local area. By the use of the run information, we can easily determine local threshold to segment the image. In this paper, a fast segmentation algorithm based on cross threshold selection is presented. Through the use of pipe-line technology both in x- and in y-directions of image plane simutaniously, the algorithm is able to not only get a good segmented image, but also save much time even in SISD computer.

AB - Texture image, which is applied in many fields, is composed of two kinds of regions and between them there is a high contrast. Although the texture image may be not have a certain run in the whole image, it has a certain run in a small window or local area. By the use of the run information, we can easily determine local threshold to segment the image. In this paper, a fast segmentation algorithm based on cross threshold selection is presented. Through the use of pipe-line technology both in x- and in y-directions of image plane simutaniously, the algorithm is able to not only get a good segmented image, but also save much time even in SISD computer.

UR - https://www.scopus.com/pages/publications/0025535026

M3 - 会议文章

AN - SCOPUS:0025535026

SN - 0277-786X

VL - 1349

SP - 277

EP - 282

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Applications of Digital Image Processing XIII

Y2 - 10 July 1990 through 13 July 1990

ER -

Fast texture image segmentation

Abstract

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