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Content-based histopathological image retrieval using multi-scale and multichannel decoder based LTP

机译:使用基于多尺度和多通道解码器的LTP进行基于内容的组织病理学图像检索

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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.
机译:提出了一种基于内容的组织病理学图像检索方案,该方案基于多尺度,多通道解码的局部三态特征和VLAD编码。该方案将图像分析成多个比例,其中基于解码器的局部三元模式被用于提取每个级别的上,下纹理图像。在每个尺度上获得基于密集补丁的直方图表示,然后进行VLAD编码和幂律归一化。在标准的20类组织病理学数据集上进行模拟。所提出的方案显示出相对于最新技术的显着改进。 (C)2019由Elsevier Ltd.发布

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