๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Segmentation of range image based on Kohonen neural network

โœ Scribed by Ning Zou; Jian Liu; Manli Zhou; Qing Li


Publisher
SP Science Press
Year
2001
Tongue
English
Weight
411 KB
Volume
18
Category
Article
ISSN
0217-9822

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Recognition of partially overlapped part
โœ F. Carosone; A. Cenedese; G. Querzoli ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Springer ๐ŸŒ English โš– 887 KB

A neural network is proposed for the recognition of partially overlapped particle images in the analysis of Particle Tracking Velocimetry (PTV) frames. The Kohonen neural network is an approximation to an optimum classifier. In this

Kohonen neural network as a pattern reco
โœ Xin-Hua Song; Philip K. Hopke ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 890 KB

The Kohonen self-organizing neural network is a useful tool for pattern recognition. Based on the Kohonen map obtained from the training set, predictions can be made for the unknown objects. The problem is how to determine the membership of new objects hitting empty neurons which were not activated

Active region segmentation of color imag
โœ Haruyuki Iwata; Hiroshi Nagahashi ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 299 KB ๐Ÿ‘ 2 views

Region segmentation of images is a well-known illposed problem, and a specific algorithm-like regularization seems to be available. In this paper, an active-region segmentation algorithm based on a regularization approach using the Hopfield neural network is proposed. Pyramid images are used to avoi