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ABSTRACT
Title |
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SIMULATION BASED PLANNING FOR DESIGN OF WASHING MACHINE USING H/W & S/W CO DESIGN |
Authors |
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Dr. H.B.Kekre, Sudeep D.Thepade, Varun Lodha, Pooja Luthra, Ajoy Joseph, Chitrangada Nemani |
Keywords |
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CBIR, BTC, Colour Space, RGB, HSV, XYZ, HSI, rgb,
Kekre’s LUV, YCbCr, YUV, YIQ, Kekre’s YCgCb. |
Issue Date |
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November 2010 |
Abstract |
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The augmentation to block truncation coding (BTC) based
image retrieval techniques using Even and Odd images
with ten different colour spaces is the theme of work
given in the paper. Here the original image is reflected
across vertical axis to obtain the flip image, then even and
odd images are obtained respectively by addition of
original with flip and subtraction of flip from original. The
BTC is applied on original image, even image and odd
image to get seven different combinational feature sets for
content based image retrieval (CBIR) techniques like
original, even, odd, original & even, original & odd, even
& odd and original & even & odd. Use of ten sundry
colour spaces results into total seventy CBIR methods,
For experimentation the generic image database having
1000 images spread across 11 categories is used. For each
proposed CBIR technique 55 queries (5 per category) are
fired on the generic image database. To compare the
performance of image retrieval techniques average
precision and recall are computed of all queries. The
results have shown the performance improvement (higher
precision and recall values) with these proposed colour-
BTC methods. Instead of using just 6 feature vector in
BTC, if we perform the image retrieval using the flipping
technique wherein the feature vector is increased to 12
and 18,the performance also increases except in the case
of normalized rgb colour space. Image flipping helps to
improve the performance in all of luminance-chromaticity
colour spaces (YUV, YIQ, LUV, Kekre’s YCgCb,
YCbCr) as well as non-luminance based colour spaces
(XYZ,HSI,RGB,HSV) in comparison of BTC applied on
original image. Also overall YUV colour space proves to
be the best in all colour spaces for proposed image
flipping techniques. The second best performance is given
by Kekre’s YCGCb colour space.
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Page(s) |
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2535-2544 |
ISSN |
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0975–3397 |
Source |
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Vol. 2, Issue.8 |
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