EMR a Scalable Graph-Based Ranking Model Ramya P.1, Raja J.2 1Associate Professor Department of Computer Science Engineering, Mahendra Engineering College (Autonomous), Namakkal, Tamilnadu, India 2Assistant Professor, Department of Computer Science Engineering, Mahendra Engineering College (Autonomous), Namakkal, Tamilnadu, India Online published on 16 March, 2018. Abstract Recently, Content-Based Image Retrieval (CBIR) has received a great consideration by researchers. It becomes one of the fascinating topics in image processing and computer vision. In this paper, Gray Level Co-occurrence Matrix (GLCM) is employed which is widely adopted for efficient image feature description and simplicity to extract the features from the separated image. Before the extraction, RGB component is separated. to describe the colour images, it is required to combine the GLCMs from each channel of the image. Finally, K-Nearest Neighbor (K-NN) is employed for applying Euclidean distance to retrieve the image. Experimental results show a significantly higher retrieval accuracy compared with previous research. Top Keywords CBIR, GLCM, K-NN Classifier. Top |