Multiscale Color Invariants Based on the Human Visual System

Camapum Wanderley, J. F. and Fisher, M. H. (2001) Multiscale Color Invariants Based on the Human Visual System. IEEE Transactions on Image Processing, 10 (11). pp. 1630-1638. ISSN 1057-7149

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Abstract

This paper proposes a new representation for color texture using a set of multiscale illuminant invariant features. The approach was specifically developed to investigate the feasibility of using machine vision to automatically monitor populations of animal species in ecologically sensitive regions, such as the Amazon Forest. The approach uses a combination of Finlayson's (1994) color angle idea and Gabor multichannel filters and was inspired by the multichannel model of the human visual system (HVS). Using a database of color textures from three species of Amazonian monkey, and also a previously published reference database of color regions, we show that the approach performs better than methods based on color angles or Gabor filters alone. The Monkey database was compiled from texture segments extracted from a video of the Amazon Forest using a spatio-temporal segmentation algorithm. The approach is evaluated by applying two different classification tests in order to measure the quality of the recognition features root mean square (RMS) analysis and receiver operating characteristic (ROC) analysis

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 07 Mar 2011 14:13
Last Modified: 21 Apr 2020 20:57
URI: https://ueaeprints.uea.ac.uk/id/eprint/22341
DOI: 10.1109/83.967391

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