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基于视觉特征的材质辨别算法

赵理 崔杜武 王磊

计算机工程2009,Vol.35Issue(22):29-31,3.
计算机工程2009,Vol.35Issue(22):29-31,3.

基于视觉特征的材质辨别算法

Material Identification Algorithm Based on Vision Feature

赵理 1崔杜武 1王磊1

作者信息

  • 1. 西安理工大学计算机科学与工程学院,西安,710048
  • 折叠

摘要

Abstract

Aiming at the problem that object material is difficult to be identified during the vision identification process, this paper proposes an identification algorithm based on the surface optics feature of object. It uses H, I, S -- the components of swatch as the coordinate to compose HIS color space, and local continuous curved surface is obtained by connecting. It uses edge detection methods to remove the impure pixels in the detected image. The average distance between the S-component of the remained pixels and the above-mentioned curved surface is ciphered out and regarded as the standard of similar degree for identifying object material and swatch material in the image. Experimental result proves that the method is simple and effective.

关键词

HSI颜色空间/材质/边缘检测/识别

Key words

HIS color space/material/edge detection/identification

分类

信息技术与安全科学

引用本文复制引用

赵理,崔杜武,王磊..基于视觉特征的材质辨别算法[J].计算机工程,2009,35(22):29-31,3.

基金项目

国家自然科学基金资助项目(60873035) (60873035)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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