Rotation Invariance
نویسندگان
چکیده
This chapter discusses the issue of rotational invariance of a texture analysis system: i.e. one desires that the outcome of the analysis is not aaected by the orientation of the input image. We argue that the orthogonal DWT (section 3.4) is very impractical for such an analysis due to its separable nature in 2 dimensions. We therefore employ the non-separable wavelet frames (section 3.3). We discuss rotation-invariant feature extraction and conduct several classiication and segmentation experiments. The text in this chapter has been submitted to the IEEE Transactions on Pattern Analysis and Machine Intelligence. This work has been performed in collaboration with Dr. P. Vautrot, who implemented the code for the anistropic wavelets and conducted the segmentation experiments.
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