期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 28, 期 5, 页码 822-826出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2006.107
关键词
statistical image representation; feature measurement; feature representation; texture; color scene analysis; shape; computer vision; computational models of vision; connectionism and neural nets
This paper investigates the principal components (PCs) of natural gray and color images. A horizontal and vertical typology of PCs is found which leads to the identification of groups of basis functions for steerable bandpass filters. Using this system, the contribution of spatio-chromatic structure to the total variance can be quantified for selected spatial frequencies.
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