✦ LIBER ✦
Image object classification using saccadic search, spatio-temporal pattern encoding and self-organisation
✍ Scribed by Vlatko Bečanović
- Book ID
- 104305000
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 236 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0167-8655
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✦ Synopsis
A method for extracting features from photographic images is investigated. The input image is through a saccadic search algorithm divided into a set of sub-images, segmented and coded by a spatio-temporal encoding engine. The input image is thus represented by a set of characteristic pattern signatures, well suited for classi®cation by an unsupervised neural network. A strategy using multiple self-organising feature maps (SOM) in a hierarchical manner is used. With this approach, using a certain degree of user selection, a database of sub-images is grouped according to similarities in signature space.