A Refined Hybrid Image Retrieval System using Text and Color

The image retrieval results(Dinosaurs) using different techniques (a) The retrieval based on HSV color+GLCM texture (b) The retrieval based on HSV color + GLCM texture 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

The Fuzzy based Particle Swarm Optimization and Ant Colony Optimization (FPSO-ACO) technique is used to trim down the feature vector dimensionality and

It uses the character dictionary (discussed later) as the database to recognize the characters from a text image. The User Training and Character Recognition modules

The system presents the image processing system containing all the necessary processes such as image scanning and reading, image pre-processing, segmentation,

First, an edge detection method using a wavelet transform is used to finding text in image.. Second, the image

Feature extraction is done in the following way; For approach1, image for which the feature vector is to be calculated is splited into R, G and B color components and for each

There are some stages to find the disease like image acquisition, preprocessing on image, color transform usingYCbCr, segmentation using Otsu method, feature