The widespread use of digital images and the availability of image editors have made the credibility of images controversial. To confirm the credibility of digital images many image forgery detection algorithms are available. Dr. Lubna Abdel Jawad recently published an article “Comparison of specific segmentation methods used for copy move detection”, in the International Journal of Electrical and Computer Engineering (SCOPUS Q2). The study execute a comparison for segmentation based on two clustering algorithms (i.e., k-means and super pixel segmentation with density-based spatial clustering of applications with noise (DBSCAN)).
The paper can be accessed at [link]
