Title :
Application of neural networks in segmentation of range images
Author :
Ghosal, Sugata ; Mehrotra, Rajiv
Author_Institution :
Kentucky Univ., Lexington, KY, USA
Abstract :
A Kohenen self-organizing neural-network-based approach to range image segmentation is presented. Orthogonal Zernike moments are computed locally to extract discriminatory surface features. These features are fed to a 1-D Kohonen neural network (NN) to provide final grouping pixels. Preliminary results show that NN-based clustering outperforms or at least performs as well as traditional clustering methods of segmenting range data
Keywords :
image segmentation; self-organising feature maps; Kohenen self-organizing neural-network-based approach; discriminatory surface features; grouping pixels; neural networks; orthogonal Zernike moments; range images segmentation; Application software; Artificial neural networks; Clustering algorithms; Feature extraction; Image edge detection; Image segmentation; Intelligent networks; Layout; Neural networks; Physics computing;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227158
