Title :
Texture classification, texture segmentation and text segmentation with discrete-time cellular neural networks
Author :
Kellner, Andreas ; Magnussen, Holger ; Nossek, Josef A.
Author_Institution :
Inst. for Network Theory & Circuit Design, Tech. Univ. Munchen, Germany
Abstract :
Global Learning Algorithms presented in a companion paper are applied to practical classification and segmentation problems: Texture Classification and Texture Segmentation of artificial and natural textures, and Text Segmentation as a sub-problem of Page Layout Analysis. In all cases, DTCNN systems can solve the problem very well in spite of its only local interconnection structure
Keywords :
cellular neural nets; image segmentation; image texture; DTCNN systems; Page Layout Analysis; discrete-time cellular neural networks; text segmentation; texture classification; texture segmentation; Cellular neural networks; Electronic mail; Feature extraction; Image segmentation; Image texture analysis; Limit-cycles; Nonlinear equations; Organizing; State feedback; Tellurium;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381672
