归一化互相关红外图像相似度度量模板匹配A novel normalized cross-correlation paid (NCC) method for template matching of infrared image was proposed.Although the classical NCC method paid attention to global correlation for template matching,it ignored the correlation of rows and columns texture between ...
I get zero or near-zero standard deviation for the random effects T1:D, and the fixed effects show the same pattern. This is expected due to the data normalization. Consequently, I get some NaN values for random effect correlations with regards to this.Can I just ignore the zero ...
The Pearson linear correlation coefficient between the FCR and the Bayesian Score is 0.68. This value indicates a significant correlation between the two measures, as would be expected when trying to measure the same phenomena. However, it also indicates that there are some differences between these...
empirical correlationheavy tailsnormal approximation errorself-normalized sumsStudent t-statisticLet X = {Xn}n≥1 and Y = {Yn}n≥1 be two independent random sequences. We obtain rates of convergence to the normal law of randomly weighted self-normalized sums (formula presented.). These rates ...
(ST-P). The negative correlation betweengandτd(left) indicates that synapses with large conductance tend to have faster signal decays. The positive correlation between g and U (middle) suggests that high-amplitude synapses have higher resource utilization. The negative correlation betweengand the ...
The PLS procedure create several eigenvectors of spectral matrices which will produce scores that explain both the variance of the spectral features, as well as the correlation with the response variables [37]. It is essential to address the multi-collinearity between variables to reduce the risk ...
Table 2 Cross-correlation matrix of dependent (GWr) and predicting factors (NDVI, T, P/ETP, Qs, S, Dd, SM90, Popd) considered in this study (original data without transformation were considered). Full size table While P/ETP and SM90 are the strong drivers of NDVI with direct relationshi...
statistical correlations, or clustering coupling measures described in the previous literature, the cross-gradient technique holds the least number of assumptions and only requires that the participant physical models are structurally similar (Lelièvre et al., 2012, Moorkamp et al., 2011). Although...
FAST SHADOW REMOVAL METHOD USING NORMALIZED CROSS CORRELATION(NCC) AND INTEGRAL IMAGEPURPOSE: A high speed shadow removal method by using normal correlation and accumulation image is provided to reduce time for calculating normal correlation by using an accumulation image and a square image. ...
2D/3D medical image registration; normalized cross-correlation; differential operator; image processing1. Introduction Image-guided surgery, which involves computer vision, biomedicine, imaging, automatic control, and other disciplines, is an interdisciplinary research direction [1,2,3,4,5]. Through the...