Title :
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
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;
Conference_Titel :
High-Performance Computing, 1997. Proceedings. Fourth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-8186-8067-9
DOI :
10.1109/HIPC.1997.634543
