摘要
提出一种基于2次C4.5分类的敏感图像检测方法.该方法利用Daubechies小波和灰度共生矩阵提取图片的纹理信息,在HSI空间和YCbCr空间提取颜色特征,进行第1次基于C4.5算法的训练和分类;对分类生成的0,1二值空间进行特征提取,将所有特征分量融合进行基于C4.5算法和2次训练和分类.基于2次训练生成的规则进行敏感图片的检测.实验结果表明,该方法对于敏感图片分类正确率达93.3%以上,与基于颜色和纹理特征的直接检测方法相比,进一步提高了正确识别率.
Presents a new method with twice classification. The shin texture features with Daubechies wavelet and gray concurrence matrix is extracted, and the color features in HSI space and YCbCr space are also extracted parameters are furt as inputs to the CA sults showed that t These parameters are given to the C4.5 classifier to be trained and classified. The her extracted again in the 0, 1 space generated. All the parameters are synthesized C4. 5 algorithm. At last, the image is dealt with the rules in CA. 5. Experimental rehis algorithm depicted better performance with correct rates reaching 93.3 %.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2006年第5期451-453,共3页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(3037.1573)
