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arXiv · 1305.5160

A novel automatic thresholding segmentation method with local adaptive thresholds

Bo Xiao·Yuefeng Jing·Yonghong Guan
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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.

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Bo Xiao, Yuefeng Jing, Yonghong Guan. 2013-05-22. A novel automatic thresholding segmentation method with local adaptive thresholds. https://arxiv.org/abs/1305.5160

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