z-logo
open-access-imgOpen Access
Content based Image Retrieval for Medical Images using Canny Edge Detection Algorithm
Author(s) -
B Ramamurthy,
K. R. Chandran
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2222-2831
Subject(s) - computer science , canny edge detector , image (mathematics) , artificial intelligence , enhanced data rates for gsm evolution , image gradient , edge detection , computer vision , content based image retrieval , image retrieval , pattern recognition (psychology) , image processing
The rapid expansion of digital data content has led to the need for rich descriptions and efficient Retrieval Tool. To develop this, content based image Retrieval method has played an important role in the field of image retrieval. This paper aims to provide an efficient medical image data Retrieval from a huge content of medical database using one of the images content such as image shape, because, efficient content-based image Retrieval in the medical domain is still a challenging problem. The main objective of this paper is to provide an efficient tool which is used for efficient medical image retrieval from a huge content of medical image database and which is used for further medical diagnosis purposes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom