Color feature vectors based on optimal LAB histogram bins

Color feature vectors based on optimal LAB histogram bins

In this paper we propose an automatic method for computing the bin boundaries of complex 3D LAB histograms in order to extract optimal color feature vectors from digital images. The size of the feature vectors can be adapted to particular application needs. We tested our approach with very good resu...

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Bibliographic Details
Published in:2014 International Conference on Development and Application Systems (DAS) pp. 180 - 183
Main Authors: Ciobanu, Adrian, Pavaloi, Ioan, Luca, Mihaela, Musca, Elena
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2014
Subjects:
Digital images
Feature extraction
feature vectors
Histograms
Image color analysis
Image segmentation
Iris recognition
LAB color space
Vectors
Online Access:Get full text
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Description
Summary:In this paper we propose an automatic method for computing the bin boundaries of complex 3D LAB histograms in order to extract optimal color feature vectors from digital images. The size of the feature vectors can be adapted to particular application needs. We tested our approach with very good results on an iris recognition problem solved empirically before.
DOI:10.1109/DAAS.2014.6842451