Color Indexing Using Wavelet-based Salient Points
Color is an important attribute for image matching and retrieval. Most of the attention
from the research literature has been focused on color indexing techniques based on global
color distributions. However, these global distributions have limited discriminating power
because they are unable to capture local color information. In this paper, we presented a
wavelet-based salient point extracting algorithm. We show that extracting the color information
in the locations given by these points provides significantly improved retrieval results as compared
to the global color feature approaches.
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