2018
DOI: 10.1155/2018/2572431
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Abstract: 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 c… Show more

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Cited by 6 publications
(1 citation statement)
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“…In order to solve this problem, discrete orthogonal moments such as Krawtchouk, Tchebichef, Hahn, Charlier and Meixner moments have been successfully introduced within the field of image analysis [27,31,50,70]. The implementation of these moments does not require any numerical approximation since the basis set is orthogonal in the discrete domain of the image coordinate space [12,44].…”
Section: Introductionmentioning
confidence: 99%
“…In order to solve this problem, discrete orthogonal moments such as Krawtchouk, Tchebichef, Hahn, Charlier and Meixner moments have been successfully introduced within the field of image analysis [27,31,50,70]. The implementation of these moments does not require any numerical approximation since the basis set is orthogonal in the discrete domain of the image coordinate space [12,44].…”
Section: Introductionmentioning
confidence: 99%