A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators

Details A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators

2007-12-24

arxiv.org/abs/0712.4015v1

Computer Science

Computer Vision and Pattern Recognition

10 pages, 5 figures, submitted to "IEEE Transactions on Pattern Analysis and Machine Intelligence"

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-165603