Integration of Statistical based Texture and Color Feature for Medical Image Retrieval
2019 ◽
Vol 8
(3)
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pp. 5584-5588
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Keyword(s):
Today, the common problem in the domain of computer vision and pattern recognition is content based image retrieval (CBIR). In this paper, a novel image retrieval method using the geometric details based on the correlation among edgels and correlation between pixels has been introduced. The autocorrelation based choridiogram descriptor has been extracted from the image to obtain geometric, texture and spatial information. Color autocorrelogram has been computed to obtain color, texture and spatial information. The proposed method is tested on benchmark heterogeneous medical image database and LIDC-IDRI-CT and VIA/I-ELCAP-CT databases and results are compared with typical CBIR system for medical image retrieval
2010 ◽
Vol 108-111
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pp. 201-206
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Keyword(s):
2005 ◽
Vol 44
(02)
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pp. 154-160
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Keyword(s):
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2020 ◽
Vol 17
(12)
◽
pp. 5550-5562
2017 ◽
Vol 59
◽
pp. 131-139
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Keyword(s):
2014 ◽
Vol 513-517
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pp. 2871-2875
Keyword(s):