A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators

Autor:	Goparaju, Sreechakra, Acharya, Jayadev, Ray, Ajoy K., Goswami, Jaideva C.
Rok vydání:	2007
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 10 pages, 5 figures, submitted to "IEEE Transactions on Pattern Analysis and Machine Intelligence"
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/0712.4015 Zobrazit plný text záznamu View this record from Arxiv