Medical Image Blind Integrity Verification with Krawtchouk Moments
Joint Authors
Shu, Huazhong
Chen, Yang
Zhang, Xu
Liu, Xilin
Source
International Journal of Biomedical Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Xu& Liu, Xilin& Chen, Yang& Shu, Huazhong. 2018. Medical Image Blind Integrity Verification with Krawtchouk Moments. International Journal of Biomedical Imaging،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1169491
Modern Language Association (MLA)
Zhang, Xu…[et al.]. Medical Image Blind Integrity Verification with Krawtchouk Moments. International Journal of Biomedical Imaging No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1169491
American Medical Association (AMA)
Zhang, Xu& Liu, Xilin& Chen, Yang& Shu, Huazhong. Medical Image Blind Integrity Verification with Krawtchouk Moments. International Journal of Biomedical Imaging. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1169491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169491