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Content-based histopathological image retrieval using multi-scale and multichannel decoder based LTP
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DOI：10.1016/j.bspc.2019.101582.png)
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Abstract
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The paper proposes a content based histopathological image retrieval scheme based on multi-scale, multichannel decoded local ternary pattern features and VLAD coding. The scheme analyzes an image into multiple scales wherein a decoder based local ternary pattern is utilized to extract upper and lower texture images at each level. A dense patch based histogram representation is obtained at each scale which is followed by VLAD coding and power-law normalization. Simulations performed on a standard 20-class histopathological dataset. The proposed scheme shows considerable improvement over state-of-the-art techniques. (C) 2019 Published by Elsevier Ltd.
Keywords:
Histopathology
Image retrieval
Decoder
VLAD coding
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