A Segmentation and Recognition Method of Rigid Image Targets

摘要

In this study, we proposed a robust method to segment and recognize the rigid image targets automatically. First, the codebook is constructed by the local features from a certain kind of objects. Then, the target is segmented from the complex background as full as possible based on the prior knowledge which is acquired from the codebook. Moreover, a novel corner feature is proposed. This feature is invariant to translation, rotation, scale change and is shown robust to addition of noise. We present a system to recognize the object with changes in 3D viewpoint using this feature and BP network. The performance on the obtained experimental results demonstrated that the proposed method is more effective than the other three ones.