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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2018/2572431 |
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| _version_ | 1849407410407473152 |
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| author | Xu Zhang Xilin Liu Yang Chen Huazhong Shu |
| author_facet | Xu Zhang Xilin Liu Yang Chen Huazhong Shu |
| author_sort | Xu Zhang |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-43ea6efe6b8143479b9782bbed1a0285 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-43ea6efe6b8143479b9782bbed1a02852025-08-20T03:36:06ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962018-01-01201810.1155/2018/25724312572431Medical Image Blind Integrity Verification with Krawtchouk MomentsXu Zhang0Xilin Liu1Yang Chen2Huazhong Shu3Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaA 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.http://dx.doi.org/10.1155/2018/2572431 |
| spellingShingle | Xu Zhang Xilin Liu Yang Chen Huazhong Shu Medical Image Blind Integrity Verification with Krawtchouk Moments International Journal of Biomedical Imaging |
| 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 |
| url | http://dx.doi.org/10.1155/2018/2572431 |
| work_keys_str_mv | AT xuzhang medicalimageblindintegrityverificationwithkrawtchoukmoments AT xilinliu medicalimageblindintegrityverificationwithkrawtchoukmoments AT yangchen medicalimageblindintegrityverificationwithkrawtchoukmoments AT huazhongshu medicalimageblindintegrityverificationwithkrawtchoukmoments |