摘要
提出了一种自适应图像型火灾探测算法。选择核函数时充分考虑样本数据的影响,在确定核函数基本类型后,根据信息几何中保角映射的方法对核函数进行修正,在此基础上,利用修正后的核函数训练支持向量机并进行分类识别。实验结果表明该算法进一步提高了火灾图像的分类精度和火灾识别的准确率。
An adaptive mage fire detection algorithm is presented. The kernel function is chosen with the effect of sample data in carful consideration, and corrected by the conformal transformation method of information geometry. Then the corrected function is used to train the SVM to identify fire. The experiment results show that this algorithm improves the classification precision of fire image and accuracy of fire reorganization.
出处
《电子科技》
2010年第5期102-104,118,共4页
Electronic Science and Technology
基金
陕西省教育厅专项基金资助项目(08JK319)
关键词
自适应
保角映射
数据驱动
火灾探测
支持向量机
adaptive
conformal transformation
data driving
fire detection
support vector machine
