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Medical Image Blind Integrity Verification with Krawtchouk Moments

A new blind integrity verification method for medical image is proposed in this paper. It is based on a new kind of image features, known as Krawtchouk moments, which we use to distinguish the original images from the modified ones. Basically, with our scheme, image integrity verification is accompl...

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Detalles Bibliográficos
Autores principales: Zhang, Xu, Liu, Xilin, Chen, Yang, Shu, Huazhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051270/
https://www.ncbi.nlm.nih.gov/pubmed/30057592
http://dx.doi.org/10.1155/2018/2572431
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author Zhang, Xu
Liu, Xilin
Chen, Yang
Shu, Huazhong
author_facet Zhang, Xu
Liu, Xilin
Chen, Yang
Shu, Huazhong
author_sort Zhang, Xu
collection PubMed
description A new blind integrity verification method for medical image is proposed in this paper. It is based on a new kind of image features, known as Krawtchouk moments, which we use to distinguish the original images from the modified ones. Basically, with our scheme, image integrity verification is accomplished by classifying images into the original and modified categories. Experiments conducted on medical images issued from different modalities verified the validity of the proposed method and demonstrated that it can be used to detect and discriminate image modifications of different types with high accuracy. We also compared the performance of our scheme with a state-of-the-art solution suggested for medical images—solution that is based on histogram statistical properties of reorganized block-based Tchebichef moments. Conducted tests proved the better behavior of our image feature set.
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spelling pubmed-60512702018-07-29 Medical Image Blind Integrity Verification with Krawtchouk Moments Zhang, Xu Liu, Xilin Chen, Yang Shu, Huazhong Int J Biomed Imaging Research Article A new blind integrity verification method for medical image is proposed in this paper. It is based on a new kind of image features, known as Krawtchouk moments, which we use to distinguish the original images from the modified ones. Basically, with our scheme, image integrity verification is accomplished by classifying images into the original and modified categories. Experiments conducted on medical images issued from different modalities verified the validity of the proposed method and demonstrated that it can be used to detect and discriminate image modifications of different types with high accuracy. We also compared the performance of our scheme with a state-of-the-art solution suggested for medical images—solution that is based on histogram statistical properties of reorganized block-based Tchebichef moments. Conducted tests proved the better behavior of our image feature set. Hindawi 2018-07-02 /pmc/articles/PMC6051270/ /pubmed/30057592 http://dx.doi.org/10.1155/2018/2572431 Text en Copyright © 2018 Xu Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Xu
Liu, Xilin
Chen, Yang
Shu, Huazhong
Medical Image Blind Integrity Verification with Krawtchouk Moments
title Medical Image Blind Integrity Verification with Krawtchouk Moments
title_full Medical Image Blind Integrity Verification with Krawtchouk Moments
title_fullStr Medical Image Blind Integrity Verification with Krawtchouk Moments
title_full_unstemmed Medical Image Blind Integrity Verification with Krawtchouk Moments
title_short Medical Image Blind Integrity Verification with Krawtchouk Moments
title_sort medical image blind integrity verification with krawtchouk moments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051270/
https://www.ncbi.nlm.nih.gov/pubmed/30057592
http://dx.doi.org/10.1155/2018/2572431
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