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In addition to step-by-step procedures for post-capture imaging, we provide a new supplement figure, which illustrates the image processing from the raw state to the processed image.
Figure 1 illustrates the image database.
Figure 2 illustrates the image acquisition geometry of the DLR 3K-camera system.
Figure 6 further illustrates the image quality improvement obtained after correcting for Type 3 artifacts, in addition to Type 1 and Type 2 artifacts.
This article illustrates the image and histological features that correlate with CT texture parameters obtained using the filtration-histogram approach to texture analysis.
This article illustrates the image and histological features that correlate with CT texture parameters obtained from tumours using the filtration-histogram approach, which comprises image filtration to highlight image features of a specified size followed by histogram analysis for quantification.
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Fig. 5 illustrates the images of these plants as recorded in the dark and in the light, using a standard hand-held consumer camera.
Each threshold distinctively penetrates into a layer and illustrates the double image at that depth.
In this section, we illustrate the image dateset used in this work and the proposed technique for epidermis segmentation.
A flow diagram illustrating the image processing procedure is given in Fig. 2, indicating the software tools used and data file type at each processing step.
To illustrate, the image shown in Figure 1 depicts a region from scaffold00001 showing gene models and RNA-Seq coverage graphs from five berry developmental stages.
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