Structural Feature Extraction from Regular-Shaped Rigid Objects(2) - Enhanced by Prior Knowledge

• Published in: 2010 3rd International Symposium on Computational Intelligence and Design Vol. 2; pp. 215 - 220
• Main Authors: Lei Zhang, Qingshan Fu, Xingguo Zhang, Guoran Hua, Longbiao Zhu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2010
• Subjects: corner detection; Data mining; Face; Feature extraction; Image edge detection; Knowledge based systems; Prior Knowledge; rule; straight line extraction
• ISBN: 1424480949; 9781424480944
• DOI: 10.1109/ISCID.2010.144

The structural feature extraction from regular-shaped rigid objects is continuously studied. Some rules based on prior knowledge are proposed to improve the effects of the same subject(1). First, some rules are introduced for recovery of the missing true features. Then, some rules for distinguishment between true features and pseudo features are proposed, which is suggested be executed in a recursive way. Last, a graph structure that represents the connection of the corners is established, which group the corner features according to connectivity components. Experiments validate that the proposed approaches have higher detection rate and much lower error rate than the approach in the same subject(1). The proposed approaches make complete the true features on the silhouette of the objects and remove many pseudo features. All these pave the way for future structural recognition.