Analysis Manipulation Copy-Move on Image Digital using SIFT Method and Histogram Color RGB

The application of the SIFT (Scale Invariant feature transform) algorithm and the RGB color histogram in Matlab can detect
the suitability of objects in digital images and perform tests accurately. In this study, we discuss the implementation to obtain object
compatibility on digital images that have been manipulated using the SIFT Algorithm method on the Matlab source, namely by
comparing the original image with the manipulated image. The suitability of objects in digital images is obtained from the large number
of keypoints obtained, other additional parameters, namely comparing the number of pixels in the analyzed image, as well as changes
in the histogram in RGB color in each analyzed image. The purpose of this research is how to apply the SIFT (Scale Invariant feature
transform) Algorithm and RGB color histogram to detect the suitability of objects in digital images and perform tests accurately. This
study discusses the implementation to obtain object compatibility in digital images that have been manipulated using the SIFT Algorithm method on Matlab sources, namely by comparing the original image with the manipulated image. The application of the SIFT Algorithm (Scale Invariant Feature Transform) and RGB color histogram in determining the similarity of the keypoint location and the number of pixels in the image, to obtain object compatibility in digital images in matlab was successfully implemented and based on the test results obtained accuracy in identifying images in digital images