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Content based Image Retrieval using Histogram, Color and Edge
by
Poulami Haldar,
Joydeep Mukherjee
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 11 |
| Year of Publication: 2012 |
| Authors: Poulami Haldar, Joydeep Mukherjee |
10.5120/7393-0366
|
Poulami Haldar, Joydeep Mukherjee . Content based Image Retrieval using Histogram, Color and Edge. International Journal of Computer Applications. 48, 11 ( June 2012), 25-31. DOI=10.5120/7393-0366
@article{
10.5120/7393-0366,
author = {
Poulami Haldar,
Joydeep Mukherjee
},
title = { Content based Image Retrieval using Histogram, Color and Edge },
journal = {
International Journal of Computer Applications
},
issue_date = { June 2012 },
volume = { 48 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = {
25-31
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume48/number11/7393-0366/
},
doi = { 10.5120/7393-0366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:49.802219+05:30
%A Poulami Haldar
%A Joydeep Mukherjee
%T Content based Image Retrieval using Histogram, Color and Edge
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 11
%P 25-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Content Based Image Retrieval (CBIR) is a process to retrieve a stored image from database by supplying an image as query instead of text. This can be done by proper feature extraction and querying process. The features like histogram, color values and edge detection plays very vital role in proper image retrieval. Here we have implemented a method of image retrieval using the histogram, color and edge detection features. In this method we used image segmentation in order to get a better accuracy percentage and this proved itself a very successful approach. We used our own computation method as well as some Matlab functions. Canny's edge detection technique and color values extraction after image segmentation gives a better accuracy level to our system. Finally we get top images matching to our query image using Euclidean Distance method.
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Index Terms
Computer Science
Information Sciences
Keywords