چکیده (انگلیسی):

Content-Based Image Retrieval (CBIR) is also known as Query By Image Content (QBIC) is the application
of computer vision techniques and it gives solution to the image retrieval problem such as searching digital
images in large databases. The need to have a versatile and general purpose Content Based Image Retrieval
(CBIR) system for a very large image database has attracted focus of many researchers of informationtechnology-
giants and leading academic institutions for development of CBIR techniques. Due to the
development of network and multimedia technologies, users are not fulfilled by the traditional information
retrieval techniques. So nowadays the Content Based Image Retrieval (CBIR) are becoming a source of
exact and fast retrieval. Texture and color are the important features of Content Based Image Retrieval
Systems. In the proposed method, images can be retrieved using color-based, texture-based and color and
texture-based. Algorithms such as auto color correlogram and correlation for extracting color based images,
Gaussian mixture models for extracting texture based images. In this study, Query point movement is used
as a relevance feedback technique for Content Based Image Retrieval systems. Thus the proposed method
achieves better performance and accuracy in retrieving images.