Title :
Automatic generation of oriented filters for texture segmentation
Author :
Ruiz-del-Solar, Javier ; Köppen, Mario
Author_Institution :
Dept. of Pattern Recognition, Fraunhofer-Inst. IPK Berlin, Germany
Abstract :
This paper describes a new texture segmentation architecture based on the joint spatial/spatial-frequency paradigm, whose oriented filters are automatically generated using the adaptive-subspace self-organizing map (ASSOM) or the supervised ASSOM (SASSOM) neural models. The automatic filter generation overcomes some drawbacks of similar architectures, such as the large size of the filter bank and the necessity of a priori knowledge to determine the filters´ parameters
Keywords :
filtering theory; image segmentation; image texture; self-organising feature maps; spatial filters; SASSOM; adaptive-subspace self-organizing map; joint spatial/spatial-frequency paradigm; oriented filter generation; supervised ASSOM; texture segmentation architecture; Adaptive filters; Computer architecture; Computer vision; Detectors; Filter bank; Frequency; Gabor filters; Neurons; Organizing; Vectors;
Conference_Titel :
Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
Conference_Location :
Venice
Print_ISBN :
0-8186-7456-3
DOI :
10.1109/NICRSP.1996.542762
