CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
基于贝叶斯网络模型的纹理分析及分类
王强; 彭思龙; WangQiang; PengSilong,
Source Publication计算机辅助设计与图形学学报
2007
Volume19(12) (EI)Issue:2007年12期Pages:1564-1568
Other AbstractA novel Bayesian network(BN)texture model is proposed。Based on the model,a texture classification method is given.Pixel values in an image window are taken as a realization of a BN,and the structure and parameters of BN for each texture class are then studied.The conditional distribution probability of the pixels is used as the feature for texture classification.Experimental results show that the proposed model is effective for texture analysis and classification.
Keyword贝叶斯网络 / 纹理模型 / 纹理分类
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12975
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding Author王强
Recommended Citation
GB/T 7714
王强,彭思龙,WangQiang,等. 基于贝叶斯网络模型的纹理分析及分类[J]. 计算机辅助设计与图形学学报,2007,19(12) (EI)(2007年12期):1564-1568.
APA 王强,彭思龙,WangQiang,&PengSilong,.(2007).基于贝叶斯网络模型的纹理分析及分类.计算机辅助设计与图形学学报,19(12) (EI)(2007年12期),1564-1568.
MLA 王强,et al."基于贝叶斯网络模型的纹理分析及分类".计算机辅助设计与图形学学报 19(12) (EI).2007年12期(2007):1564-1568.
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