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Rancang Bangun Aplikasi Deteksi Kemiripan Dua Gambar Menggunakan Algoritma Ratcliff/Obershelp Lina Wati Aritonang
Journal of Computer System and Informatics (JoSYC) Vol 1 No 3 (2020): Journal of Computer System and Informatics (JoSYC) - May 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Image search with the level of similarity of two images in a set of files with the Ratcliff / Obershelp algorithm is expected to help human work. This algorithm is an algorithm that can be used to find the similarity of two images by taking the RGB value of each RGB of the pixels per image. The process of searching for images with the highest likeness. Image format that can be input into the system is a bitmap image. Bitmap mapping of computer graphic images consisting of dots that form rows and columns, images consisting of dots and pixels. In the bitmap format, the image is stored as a matrix where each element is used to store color information to store color information for each pixel. This study uses the Ratcliff / Obershelp algorithm which is an image search algorithm which is performed by searching for matching of the same RGB value in the image. The image similarity search process can help resolve problems at the image similarity level and image search faster and more accurately. Ratcliff / Obershelp's algorithm helps image similarity search can be applied so that the search process can be easier. The Ratcliff / Obershelp algorithm is performed in detail by displaying query values ​​from the level the similarity of the image and the part that it executes and displays the image in bmp, jpg and png format to the image similarity search.