Ruiz-del-Solar, 1998 - Google Patents
TEXSOM: Texture segmentation using self-organizing mapsRuiz-del-Solar, 1998
- Document ID
- 8657836960411131199
- Author
- Ruiz-del-Solar J
- Publication year
- Publication venue
- Neurocomputing
External Links
Snippet
This article describes the so-called TEXSOM-architecture, a texture segmentation architecture based on the joint spatial/spatial-frequency paradigm. In this architecture the oriented filters are automatically generated using the adaptive-subspace self-organizing …
- 230000011218 segmentation 0 title abstract description 31
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
- G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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