Title :
Time-varying cellular neural network based morphological image processing
Author :
Al-Ani, N.K. ; Kacprzak, Tomasz
Author_Institution :
Inst. of Electron., Tech. Univ. Lodz
Abstract :
Time-varying cellular neural network is proposed for the morphological image processing and analysis. It has the ability to extract features, describe shapes and recognize patterns. The skeletonization of images, in additional to the four basic binary mathematical morphology operators: dilation, erosion, opening and closing are tested. The tasks template design and computer simulation results are given
Keywords :
cellular neural nets; feature extraction; image processing; mathematical morphology; closing; computer simulation; dilation; erosion; feature extraction; image skeletonization; morphological image analysis; morphological image processing; opening; pattern recognition; shape description; template design; time-varying cellular neural network; Application software; Cellular neural networks; Image analysis; Image processing; Linear matrix inequalities; Morphological operations; Morphology; Shape; Time varying systems; Voltage;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876826
