Seeking of tissue image digging point method based on genetic-arithmetic

Chao Hui Wang; Li Li; Yin Sheng Li; Zhuang De Jiang

Seeking of tissue image digging point method based on genetic-arithmetic

Chao Hui Wang
, Li Li
, Yin Sheng Li
, Zhuang De Jiang

School of Mechanical Engineering

Xi'an Jiaotong University
National Engineering Research Center for Miniaturized Detection Systems

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

6 Scopus citations

Abstract

For tissue-micro-array manufacture automatization, the fitness point seeking in the wax where the tissue sample to be picked up was studied. Based on digital image of tissue, the mathematical model of seeking was described as seeking the biggest inscribed circle center in the tissue area. The seeking method based on genetic-arithmetic was researched, including the code principle, parameters selection and the implementing method. The arithmetic improvement consists of fitness calculation and initialization selection, etc. The results of theory analysis and experiment prove that this arithmetic is effective and useful to fulfill the on-line manipulation.

Original language	English
Pages (from-to)	231-236
Number of pages	6
Journal	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume	13
Issue number	2
State	Published - Apr 2005

Keywords

Bio-tissue micro array
Digital image
Genetic-arithmetic

Cite this

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title = "Seeking of tissue image digging point method based on genetic-arithmetic",

abstract = "For tissue-micro-array manufacture automatization, the fitness point seeking in the wax where the tissue sample to be picked up was studied. Based on digital image of tissue, the mathematical model of seeking was described as seeking the biggest inscribed circle center in the tissue area. The seeking method based on genetic-arithmetic was researched, including the code principle, parameters selection and the implementing method. The arithmetic improvement consists of fitness calculation and initialization selection, etc. The results of theory analysis and experiment prove that this arithmetic is effective and useful to fulfill the on-line manipulation.",

keywords = "Bio-tissue micro array, Digital image, Genetic-arithmetic",

author = "Wang, \{Chao Hui\} and Li Li and Li, \{Yin Sheng\} and Jiang, \{Zhuang De\}",

year = "2005",

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language = "英语",

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journal = "Guangxue Jingmi Gongcheng/Optics and Precision Engineering",

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AU - Wang, Chao Hui

AU - Li, Li

AU - Li, Yin Sheng

AU - Jiang, Zhuang De

PY - 2005/4

Y1 - 2005/4

N2 - For tissue-micro-array manufacture automatization, the fitness point seeking in the wax where the tissue sample to be picked up was studied. Based on digital image of tissue, the mathematical model of seeking was described as seeking the biggest inscribed circle center in the tissue area. The seeking method based on genetic-arithmetic was researched, including the code principle, parameters selection and the implementing method. The arithmetic improvement consists of fitness calculation and initialization selection, etc. The results of theory analysis and experiment prove that this arithmetic is effective and useful to fulfill the on-line manipulation.

AB - For tissue-micro-array manufacture automatization, the fitness point seeking in the wax where the tissue sample to be picked up was studied. Based on digital image of tissue, the mathematical model of seeking was described as seeking the biggest inscribed circle center in the tissue area. The seeking method based on genetic-arithmetic was researched, including the code principle, parameters selection and the implementing method. The arithmetic improvement consists of fitness calculation and initialization selection, etc. The results of theory analysis and experiment prove that this arithmetic is effective and useful to fulfill the on-line manipulation.

KW - Bio-tissue micro array

KW - Digital image

KW - Genetic-arithmetic

UR - https://www.scopus.com/pages/publications/19044386775

M3 - 文章

AN - SCOPUS:19044386775

SN - 1004-924X

VL - 13

SP - 231

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JO - Guangxue Jingmi Gongcheng/Optics and Precision Engineering

JF - Guangxue Jingmi Gongcheng/Optics and Precision Engineering

IS - 2

ER -

Seeking of tissue image digging point method based on genetic-arithmetic

Abstract

Keywords

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