A Method Based on Minimum Error Thresholding for Froth Image Classification

被引：0

作者：

Peng Tao ^{[1
]}

Cao Wei ^{[1
]}

Huang Yi ^{[1
]}

Lou Yangge ^{[1
]}

Zou Ying ^{[1
]}

机构：

[1] Cent S Univ, Coll Informat Sci & Engn, Changsha 410012, Hunan, Peoples R China

来源：

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年

关键词：

Minimum Error Thresholding; Froth Image Classification; Bubble Area Features;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A classification method based on minimum error thresholding was proposed for the difficulty in classification of froth images. The optimal thresholds were determined by minimum error thresholding for binarizing the original froth images. The bubble area features of the binary images were extracted and then classified with the support vector machine (SVM). The experimental results show that the proposed method is simple and practical and can classify the froth images effectively.

引用

页码：4768 / 4771

页数：4

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