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This paper presents a segmentation methodology of abdominal axial CT images. The aim of the study is to determine the location of mesenteric area from the axial images so the organs enclosed within can be localized precisely for diagnostic purposes. The challenge confronted here is that there is no a certain deterministic shape of abdominal organs. The methodology implemented here utilizes a curvelets...
The Gabor transform is very useful for image compression. Its performance can be improved by using a modified transform, the Gabor-DCT transform. The authors propose an adaptive Gabor-DCT transform coding method for achieving even higher compression ratios.<<ETX>>
The Gabor transform is very useful for image analysis and compression. However, computation of the Gabor transform is very complicated and time consuming because the Gabor elementary functions are not mutually orthogonal. An efficient algorithm is presented for computing Gabor transforms. It is applied to image compression with good results.<<ETX>>
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