Texture-based medical image retrieval in compressed domain using compressive sensing

Content-based image retrieval has gained considerable attention in today's scenario as a useful tool in many applications; texture is one of them. In this paper, we focus on texture-based image retrieval in compressed domain using compressive sensing with the help of DC coefficients. Medical im...

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Vydané v:	International journal of bioinformatics research and applications Ročník 10; číslo 2; s. 129
Hlavní autori:	Yadav, Kuldeep, Srivastava, Avi, Mittal, Ankush, Ansari, M A
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland 2014
Predmet:	Algorithms Data Compression - methods Databases, Factual Diagnostic Imaging - instrumentation Diagnostic Imaging - methods Humans Image Enhancement Information Storage and Retrieval Pattern Recognition, Automated - methods Radiography, Thoracic - methods Software medical images basis pursuit algorithm compressed domain image retrieval discrete cosine transform image quality DCT texture based image retrieval acquisition speed compressive sampling content based image retrieval compressive sensing medical imaging
ISSN:	1744-5485
On-line prístup:	Zistit podrobnosti o prístupe
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