Structure similarity-guided image binarization for automatic segmentation of epidermis surface microstructure images-Reference-Cited by-同舟云学术

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Structure similarity-guided image binarization for automatic segmentation of epidermis surface microstructure images

Published:2017-01-24 Issue:2 Volume:266 Page:153-165
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

ZOU Y.¹²,LEI B.³⁴,DONG F.¹,XU G.¹⁴,SUN S.⁴,XIA P.³⁴

Affiliation:

1. Institute of Intelligent Vision and Image Information; China Three Gorges University; Hubei China

2. Group for Biomedical Imaging and Bioinformatics; China Three Gorges University; Hubei China

3. Centre for Microscopy Analysis; China Three Gorges University; Hubei China

4. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering; China Three Gorges University; Hubei China

Funder

Natural Science Foundation of Hubei Province

Open Foundation of Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering

Joint Funds of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jmi.12525/fullpdf

Reference42 articles.

1. High-resolution cell outline segmentation and tracking from phase-contrast microscopy images;Ambuhl;J. Microsc.,2012

2. Multilevel thresholding for image segmentation through a fast statistical recursive algorithm;Arora;Patt. Recog. Lett,2008

3. Phase-based optimal image thresholding;Belkasim;Digit. Signal Process,2003

4. Performance evaluation of image segmentation algorithms on microscopic image data;Benes;J. Microsc.,2015

5. An efficient gray-level thresholding algorithm for historic document images;Carlos;J. Cult. Herit.,2008

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