A novel automatic thresholding segmentation method with local adaptive thresholds
Computer Vision and Pattern Recognition
2013-05-23 v1
Abstract
A novel method for segmenting bright objects from dark background for grayscale image is proposed. The concept of this method can be stated simply as: to pick out the local-thinnest bands on the grayscale grade-map. It turns out to be a threshold-based method with local adaptive thresholds, where each local threshold is determined by requiring the average normal-direction gradient on the object boundary to be local minimal. The method is highly automatic and the segmentation mimics a man's natural expectation even the object boundaries are fuzzy.
Cite
@article{arxiv.1305.5160,
title = {A novel automatic thresholding segmentation method with local adaptive thresholds},
author = {Bo Xiao and Yuefeng Jing and Yonghong Guan},
journal= {arXiv preprint arXiv:1305.5160},
year = {2013}
}
Comments
3 pages, 6 figures