Efficient algorithm for feature extraction from oceanographic images

Author

Iyengar, S.S. ; Simhadri, Kiran K. ; Trivedi, S.K.

Author_Institution

Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA

fYear

1997

fDate

18-21 Dec 1997

Firstpage

533

Lastpage

538

Abstract

This paper presents a new computational scheme based on multiresolution decomposition for extracting the features of interest from oceanographic images by suppressing noise. The multiresolution analysis from the median presented by (Starck et al., 1994) is used for the noise suppression. A parallel approach is presented for this computationally intensive problem of infrared images

Keywords

edge detection; feature extraction; geophysical signal processing; geophysics computing; image resolution; infrared imaging; oceanographic techniques; parallel processing; wavelet transforms; IR imaging; computational scheme; computationally intensive problem; edge detection; feature extraction; image processing; infrared images; multiresolution decomposition; noise suppression; ocean; oceanographic images; parallel approach; remote sensing; wavelet transform; Computer science; Concurrent computing; Feature extraction; Image edge detection; Image processing; Image resolution; Infrared imaging; Oceans; Signal resolution; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

High-Performance Computing, 1997. Proceedings. Fourth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-8186-8067-9

Type

conf

DOI

10.1109/HIPC.1997.634543

Filename

634543