Image Feature Extraction and Recognition Based on Adaptive Unit-Linking Pulse Coupled Neural Networks
A novel image feature extraction and recognition algorithm, using adaptive Unit-Linking Pulse Coupled Neural Networks (AULPCNN), is put forward. Firstly, ULPCNN linking strength and threshold are improved based on take into account image local information, and then AULPCNN is formed. Secondly, the time matrix is come into being, which is a mapping from the spatial image information to time information by using AULPCNN processing;it can be regarded as an image. Finally, an invariable center feature of the time matrix is defined and used in image feature extraction and recognition. Experimental results show that center feature of AULPCNN time matrix have the ability of antigeometric distortions (TRS), and anti-noise disturbance, the novel method have characteristics of simple extraction approach, little extraction parameter, easy implementation, higher accurate recognition ratio and strong robustness.
Image recognition Feature extraction AULPCNN Time matrix Center feature
Qing Liu Yong Wang Yide Ma
School of Physics & Information Science, Tianshui Normal University Tianshui, Gansu Province 741001, School of Electronic Engineering, Xidian University Xi’an, Shanxi Province 710071, China School of Information Science & Engineering, Lanzhou University Lanzhou, Gansu Province 730000, Chin
国际会议
温州
英文
2065-2068
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）