Image Processing
Citations
117 citations
Cites methods from "Image Processing"
...…experiment A and (i) 40 hpi, (1) 48 hpi, (2) 64 hpi, and (3) 72 hpi for experiment B. Lesion diameter in centimeters and total leaf area in square centimeters was obtained by hand analysis of high-resolution digital images (2048 3 1536 pixels) of infected leaves using ImageJ (Abramoff et al. 2004)....
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...Lesion time points were (1) 48 hours postinoculation (hpi), (2) 72 hpi, and (3) 88 hpi for experiment A and (i) 40 hpi, (1) 48 hpi, (2) 64 hpi, and (3) 72 hpi for experiment B. Lesion diameter in centimeters and total leaf area in square centimeters was obtained by hand analysis of high-resolution digital images (2048 3 1536 pixels) of infected leaves using ImageJ (Abramoff et al. 2004)....
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...Abramoff, M. D., P. J. Magelhaes and S. J. Ram, 2004 Image processing with ImageJ....
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116 citations
Cites background or methods from "Image Processing"
...As extensively claimed by the multi-view research [Xu et al., 2015; Wang et al., 2017b; Deng et al., 2015; Wu et al., 2013; Wang et al., 2015b; Wang et al., 2013; Wang et al., 2015a; Wang et al., 2014], the information encoded by multi-view features describe different properties; thus leveraging…...
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...One critical issue on a successful multi-view incorporation implied by the existing work [Gui et al., 2014; Kumar and Daume, 2011; Wu and Wang, 2017; Wang et al., 2015c; Wang et al., 2017a], lies in how to achieve the multiview consensus/agreement....
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...…claimed by the multi-view research [Xu et al., 2015; Wang et al., 2017b; Deng et al., 2015; Wu et al., 2013; Wang et al., 2015b; Wang et al., 2013; Wang et al., 2015a; Wang et al., 2014], the information encoded by multi-view features describe different properties; thus leveraging the multi-view…...
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115 citations
Cites methods from "Image Processing"
...The MLP is trained in batch mode using Qprop [12], a modified backpropagation algorithm, for a faster but stable learning course....
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...For broadband sources, the method described by Parry [12] could be used to compute the probability density function (PDF)....
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114 citations
Cites background from "Image Processing"
...: images containing a single type of texture [94]—can be conveniently characterized through the probability distribution of the possible greyscale instances of a predefined neighbourhood [66]....
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...) extracted from the co-occurrence coefficients [12, 28, 79, 94]....
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113 citations
Cites methods from "Image Processing"
...Band intensities were quantified using ImageJ software (Abramoff et al. 2004)....
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References
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