多专家的PCA边缘检测模型

Edge detection model based on multi-expert and principal component analysis

摘要:

视一种边缘检测法为一个专家,为了解决不同专家检测结果的不一致性以及解决专家选择上的困难,提出了一种基于多专家与主成分分析（PCA）的边缘检测模型. 首先给专家响应建立了统计模型,通过此模型分析得出,边缘检测模型能有效抑制专家噪声；然后利用提出的边缘检测模型融合多个专家的检测信息得到基于多专家的综合检测结果. 实验结果表明,边缘检测模型可获得很好的边缘检测效果.

Abstract:

Each method of edge detection is regarded as an expert. To solve the problem of inconsistency of different expert responses and the difficulty of choosing right expert, a model of edge detection based on multi-expert and principal component analysis (PCA) is proposed. Firstly, a statistical model for expert response is established, and theoretical analysis shows that the edge detection model can effectively suppress noise coming from the expert. Then, the information of multiple detection results were combined to obtain the general detection result with the model based on multi-expert and PCA. The experimental results are very satisfactory.