Novel Reconfigures Moments and Indirect Transformed Based Features for Effective Image-Set Classification
The majority important to compare regions within a single Moments image, but quantitative measurements. Like reconfigures moments and indirect transformed based features for effective image-set classification, data can be presented as median, mean and variance, or histogram. If histogram representative agreement Lights can be eradicated. Regions will be similar histogram same way and under different lighting conditions to be applied if it is normal and branch third time -region may vary depending on the distance at which an observer standing at the target. Transformed Based Features the viewing angle can change the position and resize. However, the number can help distinguish a noise attack in the sub region. Image-set Classification relative size is important.
[1]
Arash Kalami, Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
Image Classification, Database, Feature Extraction and Generation, Pattern Recognition, Rotation Invariant Moments, MPEG7
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