计算机应用 ›› 2011, Vol. 31 ›› Issue (01): 243-246.

• 模式识别 • 上一篇    下一篇

基于正负模糊规则的相结合的图像分类

吴军1,王士同2   

  1. 1. 江苏省无锡市江南大学
    2. 江南大学信息工程学院
  • 收稿日期:2010-07-19 修回日期:2010-09-08 发布日期:2011-01-12 出版日期:2011-01-01
  • 通讯作者: 吴军
  • 基金资助:
    国家自然科学基金;国家自然科学基金重大研究计划

Images classification based on combination of positive and negative fuzzy rules

  • Received:2010-07-19 Revised:2010-09-08 Online:2011-01-12 Published:2011-01-01

摘要: 由于传统的图像分类只是利用正模糊规则对图像分类,忽略了负模糊规则在图像分类中的作用。据此本文提出用正负模糊规则的相结的方法对图像进行分类,注重将负模糊规则和传统的正模糊分类规则有效结合。实验表明,该方法有较高的准确率,获得了更好的效果。

关键词: 图像分类, 正负模糊规则, 遥感图像, 自然图像

Abstract: We often use the positive fuzzy rules only for image classification in the traditional image classification system. However, the role of the negative fuzzy rules also is sometimes important in image classification. Accordingly, this paper proposes a new fuzzy rule system which uses the combination of positive and negative fuzzy rules to classify images. We focus on combining negative fuzzy rules with traditional positive ones. Experiments show that the proposed method here has high accuracy and better results than the methods using positive rules only.

Key words: mage classification, positive and negative fuzzy rules, remote sensing image, natural image