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Moreover, the accuracy of the IpDTFT-NR procedure is compared with that of another algorithm, called IpDTFT-IR procedure, which ensures the maximum Image component interference Rejection on the IpDTFT frequency estimator.
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Note that the structure seen in the reconstructed images is present in the raw maximum images.
Fig. 3 (a) From left to right: original RGB image, R component, G component, B component.
The flow chart for the extraction procedure to obtain the final watermarked image Fig. 6 The examples of using morphology to determine the maximum connected component.
We classified each accession based on its maximum subpopulation component.
With Hubba, we used Maximum Neighborhood Component (MNC) and Density of Maximum Neighborhood Component (DMNC) algorithms.
In this study, we used the following six methods: degree, BottleNeck, Edge Percolation Component (EPC), Maximum Neighborhood Component (MNC), Density of Maximum Neighborhood Component (DMNC), and betweenness centrality.
A maximum intensity image was generated from these same segmented image sequences, and each vascular component was skeletonized via a thinning algorithm.
A maximum projection image was then produced and duplicated.
Figure 8A shows maximum projected images.
Particle pathline images are generate by calculation of maximum projection images (Fig. 4c).
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