Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
On active contour models and balloons
CVGIP: Image Understanding
Active shape models—their training and application
Computer Vision and Image Understanding
On the selection of an optimal wavelet basis for texture characterization
IEEE Transactions on Image Processing
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The ocean subbottom characterization is based mainly on the processing of a received echo from a sonar based equipment. This signal is further analysed by a geologist in order to visually characterize the sediment type. No automatic processing is actually implemented and, therefore, the classification process is difficult and time consuming. In this article we propose a semiautomatic classification based in pseudoimages created from the acoustic signals. An a priori classification of sediments based on their visual artifacts is made. Two main features are extracted and used as inputs for a subbottom classifier. Experimental data and results as well as further improvements are presented.