Content Based Image Retrieval Using K-Means Algorithm

摘要

The importance of information sharing through images is widespread among individuals. The community/social networking facilitates the users to upload, download and share various images. It is a complex task to segregate an image from image rich information network. This paper's main motive is to evaluate the performance of CBIR system and to find relevant image from annotated images that match query and assign right name label. K-means clustering algorithm is proposed as it improves the scalability. It includes combine theories of CBIR and analysis of features of CBIR system.