Automatic thresholding using a modified valley emphasis-Reference-Cited by-同舟云学术

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Automatic thresholding using a modified valley emphasis

Published:2020-01-27 Issue:3 Volume:14 Page:536-544
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Xing Jiangwa¹,Yang Pei²,Qingge Letu³

Affiliation:

1. Research Center of Basic Medical Sciences, Medical College, Qinghai UniversityXining810016People's Republic of China

2. Department of Computer Technology and ApplicationQinghai UniversityXining810016People's Republic of China

3. College of Computing and Informatics, University of North Carolina CharlotteNC28223USA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0176

Reference34 articles.

1. Implementing a parallel image edge detection algorithm based on the Otsu‐Canny operator on the Hadoop platform;Cao J.F.;Comput. Intell. Neurosci.,2018

2. Medical image segmentation by a constraint satisfaction neural network;Chen C.T.;IEEE Trans. Nucl. Sci.,1991

3. Inference with collaborative model for interactive tumor segmentation in medical image sequences;Lin L.;IEEE Trans. Cybern.,2017

4. A novel active contour model based on modified symmetric cross entropy for remote sensing river image segmentation

5. Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts

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