A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators
Computer Vision and Pattern Recognition
2007-12-27 v1
Abstract
This paper proposes a novel method for segmentation of images by hierarchical multilevel thresholding. The method is global, agglomerative in nature and disregards pixel locations. It involves the optimization of the ratio of the unbiased estimators of within class to between class variances. We obtain a recursive relation at each step for the variances which expedites the process. The efficacy of the method is shown in a comparison with some well-known methods.
Cite
@article{arxiv.0712.4015,
title = {A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators},
author = {Sreechakra Goparaju and Jayadev Acharya and Ajoy K. Ray and Jaideva C. Goswami},
journal= {arXiv preprint arXiv:0712.4015},
year = {2007}
}
Comments
10 pages, 5 figures, submitted to "IEEE Transactions on Pattern Analysis and Machine Intelligence"