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ABSTRACT
Title |
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Image Retrieval using DWT on Row and Column Pixel Distribution of BMP Image and Row Mean and Column Mean |
Authors |
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N S T Sai, R C Patil |
Keywords |
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Content Based Image Retrieval, Wavelet Transform,
Euclidean distance, Binary bitmapped image, Precision, Recall |
Issue Date |
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November 2010 |
Abstract |
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With the rapid development of technology of
multimedia, the traditional information retrieval techniques based
on keywords are not sufficient, content - based image retrieval
(CBIR) has been an active research topic. The large amount of
image collections available from a variety of sources has posed
increasing technical challenges to computer systems to
store/transmit and index/manage the image data to make such
collections easily accessible. Here to search and retrieve the
expected images from the database we need Content Based Image
Retrieval system. CBIR extracts the features of query image and
try to match them with the extracted features of images in the
database. Then based on the similarity measures and threshold
the best possible candidate matches are given as result. Wavelet
transform is used to generate feature vector based on the row and
column wise pixel distribution of binary bit mapped image
(BMP)and row and column mean value of R,G,B color plane of
color image. Wavelet coefficients and moments of wavelet
coefficients make a variable feature vector size. In this paper 4
novel techniques are discussed with their precision and recall
performance. Simple Euclidean Distance used to compute the
similarity measures of images for Content Based Image Retrieval
application. The proposed image retrieval techniques are applied
on a image database of 500 images include 5 classes. All this
approaches gives acceptable results.
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Page(s) |
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2559-2566 |
ISSN |
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0975–3397 |
Source |
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Vol. 2, Issue.8 |
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