A Binary Tree Classifier for Feather Color Based on SVM

Zhu Ying; Wang Ren-huang; Li Ning; Li Yi-yue

doi:10.3969/j.issn.1007-7162.2013.04.016

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A Binary Tree Classifier for Feather Color Based on SVM

更新时间：2026-05-27

- A Binary Tree Classifier for Feather Color Based on SVM
- Vol. 30, Issue 4, Pages: 88-92(2013)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2013.04.016
  CLC：
- Online First：30 December 2013，
  
  Published：2013
- 稿件说明：
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朱颖, 汪仁煌, 李宁, 李逸岳. 基于SVM的二叉树羽毛片颜色分类器[J]. 广东工业大学学报, 2013, 30(4): 88-92.

Zhu Ying, Wang Ren-huang, Li Ning, et al. A Binary Tree Classifier for Feather Color Based on SVM[J]. 2013, 30(4): 88-92.
朱颖, 汪仁煌, 李宁, 李逸岳. 基于SVM的二叉树羽毛片颜色分类器[J]. 广东工业大学学报, 2013, 30(4): 88-92. DOI： 10.3969/j.issn.1007-7162.2013.04.016.

Zhu Ying, Wang Ren-huang, Li Ning, et al. A Binary Tree Classifier for Feather Color Based on SVM[J]. 2013, 30(4): 88-92. DOI： 10.3969/j.issn.1007-7162.2013.04.016.

摘要

为提高羽毛片生产效率和质量，减少主观分级误差，提出了一种利用机器视觉对羽毛片颜色自动分级的方法.首先在YU′V′颜色空间的基础上，对图像的特征值进行了提取与分析；然后结合特征值构建了一种基于SVM的二叉树多类分类器对羽毛片颜色进行分类，并分析了其分类误差.实验结果表明：该分类器正确率高，可有效确定羽毛片颜色的级别，满足羽毛片自动分级的生产要求.

Abstract

In order to increase productivity

reduce subjective grading error and improve quality

it proposed a method of using machine vision for automatic ratings of feather color. First

the eigenvalues of images were extracted and analyzed

based on the YU‘V’ color space. Then

an optimized binary tree of multi-class classifiers was built

based on SVM

combined with its characteristic value. It was used to classify the feather color. Finally

the classification error was analyzed. The experimental results show that the designed classifier has a high correct rate

and that it can efficiently determine the feather color level

thus satisfying the production requirement for automatic grading of feather.

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