Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72776
Title: Neural network based corner detection method
Authors: Dias, P.G.T.
Kassim, A.A. 
Srinivasan, V. 
Issue Date: 1995
Source: Dias, P.G.T.,Kassim, A.A.,Srinivasan, V. (1995). Neural network based corner detection method. IEEE International Conference on Neural Networks - Conference Proceedings 4 : 2116-2120. ScholarBank@NUS Repository.
Abstract: Existing corner detection methods either extract boundaries and search for points having maximum curvature or apply a local operator in parallel to neighborhoods of a gray level picture. The key problem in these methods is the conversion of the gray levels of a pixel into a value reflecting a property of cornerness at that point. A neural network's ability to learn and to adapt together with its inherent parallelism and robustness has made it a natural choice for machine vision applications. This paper presents the application of neural networks to the problem of detecting corners in 2-D images. The performance of the system suggests its robustness and great potential.
Source Title: IEEE International Conference on Neural Networks - Conference Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/72776
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