Content based image retrieval using Dither Block Truncation coding with similarity comparison algorithm

The main aim of this paper is to reduce the computational time, to increase the complexity ratio and to improve the image quality by applying dither Dither Block Truncation coding algorithm with different similarity comparison algorithm, as different approaches are followed to improve the quality of an image, ODBTC is one of the approach, but to improve the quality we will also include some of the best similarity measurement algorithm like normalized and mini-max ratio, on the other hand feature selection is also one of the important factor to improve the performance measurement, previously we were using color(CF) and bit pattern(BF) separately but here we will combine both color with bit pattern(CBF)feature so more improved result will occur.