October 2013
Beginner to intermediate
350 pages
13h 7m
English
Content preview from Feature Extraction and Image Processing
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62 Feature Extraction and Image Processing
The function of the wavelet transform is to determine where and how each wavelet
specified by the range of values for each of the free parameters occurs in the image.
Clearly, there is a wide choice which depends on application. An example transform is
given in Figure 2.24. Here, the Gabor wavelet parameters have been chosen in such a way
as to select face features: the eyes, nose and mouth have come out very well. These features
are where there is local frequency content with orientation according to the head’s inclination.
Naturally, these are not the only features with these properties, the cuff of the ...
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