Fuzzy Support Vector Machine based on partial supervision and its application in triangle node of feather and down category recognition

Abstract

Abstract: Currently, most work of feather and down category recognition is done by man with a microscope, but this method has many disadvantages. FSVM based on Partial Supervision（PS-FSVM） is applied to feather and down category recognition. PS-FSVM is used to increase the size of training samples, which is based on a small number of labeled training samples. Then it uses the characteristics of FSVM to reduce the impact of misclassified samples which caused by semi-supervised learning. After the image processing, the triangle node of two-value image of feather is to be recognized with PS-FSVM. The results show PS-FSVM improve the recognition rate of the triangle node.

Key words: Fuzzy Support Vector Machine（FSVM）, classification, partial supervision, triangle node of feather and down category recognition

摘要： 目前，我国对羽绒种类的识别主要由人工借助于显微镜完成，这种方法存在许多不足。提出将半监督FSVM算法引入到羽绒识别中，用半监督学习方法以少量的训练样本为基础，扩大训练样本集的规模，同时利用FSVM的特性减少半监督学习所带来的误差；利用半监督FSVM对经过处理的羽绒二值化图像中的菱节进行识别。该方法提高了菱节识别的准确率。

关键词: 模糊支持向量机, 分类, 半监督, 羽绒菱节识别

XING Di, GE Hongwei. Fuzzy Support Vector Machine based on partial supervision and its application in triangle node of feather and down category recognition[J]. Computer Engineering and Applications, 2013, 49(1): 242-244.

邢笛，葛洪伟. 半监督FSVM在羽绒菱节识别中的应用[J]. 计算机工程与应用, 2013, 49(1): 242-244.

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Fuzzy Support Vector Machine based on partial supervision and its application in triangle node of feather and down category recognition

半监督FSVM在羽绒菱节识别中的应用

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