Training ANN for Image Discrimination Based on Wavelet

Author

Chen, Ning

Author_Institution

Coll. of Comput. Sci., Xi´´an Polytech. Univ., Xi´´an

fYear

2008

fDate

28-30 Aug. 2008

Firstpage

615

Lastpage

617

Abstract

This paper introduced a technique for training ANN for image discrimination based on Wavelet. The technique models perception of human being as process of training ANN according to visible difference predictors (VDPs). We used the Wavelet algorithm to acquire a training set, with ART-2 as representative of ANN, which is considered a tradeoff of stability-plasticity dilemma. The experiments show an accuracy rate close to 80%.

Keywords

artificial intelligence; image processing; neural nets; prediction theory; wavelet transforms; ANN; VDP; artificial neural networks; image discrimination; stability-plasticity dilemma; visible difference predictors; wavelet method; Artificial neural networks; Computational modeling; Computer graphics; Humans; Image edge detection; Information technology; Neural networks; Pixel; Rendering (computer graphics); Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Convergence and Hybrid Information Technology, 2008. ICHIT '08. International Conference on

Conference_Location

Daejeon

Print_ISBN

978-0-7695-3328-5

Type

conf

DOI

10.1109/ICHIT.2008.228

Filename

4622894

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2814389