Translation and Rotation Invariant Content-based Image Retrieval System

The subject of image retrieval is discussed intensively in the literature. The success of using BoVW model had also contributed to increasing the number of

The performance of 2DPCA technique was compared to the ones using principal component analysis (PCA) and singular value decomposition (SVD) for breast density characteriza- tion,

So by means of annotation issue in physiological structure of eye, pixels in center of image are more important and have more effective role in extracted features and also system

At first, for comparing two images the user selects a region of interest from the query image then the system obtains most similar region in other images, finally the system

To improve the performance and address these problems a novel algorithm Local Tetra Pattern (LTrP) is proposed which is coded in four direction instead of two direction used

A path index allows the fast retrieval of graphs based on paths (sequences of nodes connected by edges, whereas the number of edges defines the length of the path) of

The main objective of the proposed system to provide an efficient tool for efficient image retrieval from a huge content of image database using features based on

EJ. A support system for content-based medical image retrieval in object oriented databases. Rosset A, Ratib O, Valle J. Integration of a mul- timedia teaching and reference database