Multi-feature fusion method for medical image retrieval using wavelet and bag-of-features

A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features

Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features

Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

Medical Image Retrieval Using Biorthogonal Spline Wavelet

An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. So effective and fast retrieval system becomes important and the need for efficient content-based image retrieval has increased tremendously. The benefits emanating from the application of content-based approaches to medical image retrieval range from clinical de...

Method for Image Restoration using Wavelet based Image Fusion

With the increase demand of better image quality lot of image processing algorithms are designed. In this paper we described a method to remove the motion blur present in the image taken form any cameras. Motion blur is the result of the relative motion between the camera and the scene during image exposure time, this includes both camera and scene objects motion.. The aim of image restoration ...

Image Fusion For Medical Image Retrieval