Wide-Band Multi-spectral Space for Color Representation

被引:5
作者
Kurt Muenger
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中图分类号
TN911.73 [图像信号处理];
学科分类号
0711 ; 080401 ; 080402 ;
摘要
This paper develops a wide-band multi-spectral space for color representation with Aitken PCA algorithm. This novel mathematical space using the broad-band spectra matching method aims at improving the accuracy of color representation as well as reducing costs for processing and storing multi-spectral images. The results show that the space can present our experimental original spectral spaces (i.e. Munsell color matt and DIN-6164 color chips) with high efficiency, and that the spanning space with three eigenvectors can present the original space at more than 98% CSCR, and when 5 eigenvectors are used it can cover almost the whole original spaces.30 patients with generalized anxiety disorder (GAD), 30 patients with panic attack (PA) and 30 normal control were assessed with EPQ and TABA (type A behavior assessment). Result: The two patient groups had more Type A behavior than normal control. They had also higher P score and N score in EPQ test than control. Among patients, there was significant positive correlation between P score and N score, and significant negative correlation between TH or CH score and P or N score. Conclusion: Neurotic patients have more Type A behavior and are more neuroticism and psychoticism. psychiatry personality case-control studies EPQ Type A behavior anxiety disorder
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页码:69 / 74
页数:6
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[1]  
Moon H.Phillips P J (2001) Computational and performance aspects of PCA-based face-recognition algorithms. Perception .