半监督FSVM在羽绒菱节识别中的应用  

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

作　　者：邢笛[1] 葛洪伟[1] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《计算机工程与应用》2013年第1期242-244,270,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60975027)

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。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.

关 键 词：模糊支持向量机 分类 半监督 羽绒菱节识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]