Colour image recognition based on single-layer neural networks of Min/Max nodes

Title:

Colour image recognition based on single-layer neural networks of Min/Max nodes

Creator:

Holota, Radek

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:62fea206-2fff-4ece-bd17-1f1892b86778
uuid:62fea206-2fff-4ece-bd17-1f1892b86778
doi:10.14311/NNW.2012.22.024

Subject:

Neural network, image recognition, Min/Max nodes, colour, and face recognition

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

An image recognition system can be based on a single-layer neural network composed of Min/Max nodes. This principle is easy to use for greyscale images. However, this article deals with the possibilities of utilising neural nets for colour image recognition. Several principles are demonstrated and tested by recently developed software. A new modified Min/Max node Single Layer Net, suitable for recognition in HSV (Hue Saturation Value) colour space, is presented in this paper.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2012 Volume:22 | Number:4

Harvested from:

CDK

Metadata only:

false