Moments, including geometric and orthogonal ones, are widely used in image processing, pattern recognition, computer vision and multiresolution analysis. They at first present geometric, Legendre, Hermite and Gaussian-Hermite moments and their calculation, and then analyze and compare their behavior in both spatial and spectral domains. They also show the orthogonality equivalence theorem and that Gaussian-Hermite moments give an approach to construct orthogonal features from wavelet analysis. The images processed by our brain represent our window into the world. For some animals this window is derived from a single eye, for others, including humans, two or more eyes provide stereo imagery.
Animal vision is truly varied and has developed over millennia in many remarkable ways.
In the third paper, W. R. Watkins shows us some examples in multispectral image processing. We have learned a lot about vision processes by studying animal systems and can learn even more. Small target detection has found its wide applications in remote sensing, surveillance, robotics, etc. The difficulty of small target detection is that the available information from targets is much less than that from the background. In the fourth paper, Y. S. Moon et al. present small target detection from infrared sea surface images based on multilevel filters.