Fast image retrieval using error diffusion block truncation coding and unsupervised clustering

An Improve Method of Content Based Image Retireval by Using Different Distance Metric on Color Image

“…The velocity of retrieval varies parallel with the wide variety of pictures in the database i.e. An increase in database images confirmed good sized increase in the machine overall performance [7].…”

Review on Concurrent Image Retrieval

“…When the user asks the query, then it will be matched with the database and retrieve the image. It retrieves the exact image by comparing the texture, color, and shape [3]. The color images are indexed using the features extracted from Error Diffusion Block Truncation Coding (EDBTC).…”

Content Based Image Retrieval Using Error Diffusion Block Truncation Coding and SVM Features

“…The speed of retrieval varies linearly with the number of images in the database i.e. an increase in database images showed significant increase in the system performance [11].…”

“…Also, the proposed method achieves the improvement of 13% and 2% in precision and recall, respectively, in comparison with prior methods [10]. Devi S, et al [2016] In this paper color descriptions are indexed using the features extracted from Error Diffusion Block Truncation Coding (EDBTC). A new framework of CBIR with unsupervised clustering is used here in which the amount of time required for comparing the target and query image is significantly reduced.…”