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Neural nets and multichannel image processing applications

Gaganis Vasileios, Zervakis Michail, Christodoulou Manolis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/C78B6FA4-52DB-4859-84BF-1169B2AF62E6
Έτος 1996
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά V. Gaganis, M. Zervakis and M. Christodoulou, “Neural nets and multichannel image processing applications”, in 1996 COMPARES Conference, pp. 57-70. doi: 10.1007/978-3-642-59041-2_7 https://doi.org/10.1007/978-3-642-59041-2_7
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Περίληψη

The application of neural network technology to multichannel image processing is presented in this paper. Topics such as image restoration, segmentation, transformation and compression are discussed, covering a wide range of image processing and analysis areas. The problems are converted to optimisation or interpolation problems through the appropriate mathematical interface. This alternative interpretation enables the application of well-known neural network structures, perfectly suited for such purposes due to the accuracy and high speed of computation. The proposed framework handles multichannel data in a compact form and, thus, it is directly applicable to remote sensing.

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