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改善的支持向量机图像分割分类器构造

李晨

计算机与数字工程Issue(2):316-319,4.
计算机与数字工程Issue(2):316-319,4.DOI:10.3969/j.issn1672-9722.2015.02.038

改善的支持向量机图像分割分类器构造

Construction of Improved Image Segmentation Classifier of Support Vector Machine

李晨1

作者信息

  • 1. 西安工业大学北方信息工程学院 西安 710032
  • 折叠

摘要

Abstract

Constructing classifier is an important processing step in image segmentation .In this paper ,a prior knowl‐edge of support vectormachine is introduced ,and support vector machine is improved ,the support vector machine based on improved structure to achieve a classifier .Experiment results show that the classifier offers better classification precision than the traditional support vector machine methods through the experiment whose data from UCI machine learning database breast cancer data .

关键词

先验知识/支持向量机/医学图像分割

Key words

prior knowledge/support vector machine/medical image segmentation

分类

信息技术与安全科学

引用本文复制引用

李晨..改善的支持向量机图像分割分类器构造[J].计算机与数字工程,2015,(2):316-319,4.

计算机与数字工程

OACSTPCD

1672-9722

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