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Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging (CROSBI ID 34983)

Prilog u knjizi | izvorni znanstveni rad

Vujović, Igor ; Kuzmanić, Ivica ; Vujović, Mirjana ; Pavlović, Dubravka ; Šoda, Joško Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging // Vision Systems : Segmentation and Pattern Recognition / Obinata, Goro ; Dutta, Ashish (ur.). Beč: I-Tech Education and Publishing, 2007. str. 243-268

Podaci o odgovornosti

Vujović, Igor ; Kuzmanić, Ivica ; Vujović, Mirjana ; Pavlović, Dubravka ; Šoda, Joško

engleski

Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging

Wavelets have evolved over years. FGW and SGW are still used and they are applied in more and more areas of research. his chapter proposes a novel algorithm for wavelet segmentation, edge detection and compression. Proposed algorithm is flexible, because of many options which can be used. The algorithm is tested on the real-patients' X-rays. Vision systems in medicine must be carefully used, because of misdiagnosis danger. I.e. in superresolution, when an un-seen detail shows up, it could mean that illness is discovered before medical expert could see it. But, it can be a false positive. If a vision system is used instead, the system must be checked by medical experts for any possible case. The algorithm could be incorporated in computer hardware and sell as medical vision system. It has to be checked by appropriate bodies in different countries before.

wavelet, image processing, medical imaging, edge detection

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Podaci o prilogu

243-268.

objavljeno

Podaci o knjizi

Vision Systems : Segmentation and Pattern Recognition

Obinata, Goro ; Dutta, Ashish

Beč: I-Tech Education and Publishing

2007.

978-3-902613-05-9

Povezanost rada

Elektrotehnika