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The binary image can be further simplified (skeletonized) and used to count the number of nodes (anastomoses between trabeculae) or free ends (segments disconnected from the network).
It is quite straightforward that the binary image can be modeled as Markov source.
After the distance transform image was obtained (shown in Figure 6e), another binary image can be generated by the threshold operations.
Through using the connected component labeling algorithm [18] the first order ring from the binary image can be extracted, which is shown in Fig. 2(c).
In order to generate the elimination of vessels, the binary image can be subtracted from the Gaussian filtered image so that the final image has vessel-free candidates.
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If the binary feature image can be more similar to the global feature of the cover image, the robustness of the generated watermark could be further enhanced.
With the binary images, a yeast candidate mask image can be constructed by combining the GF (green fluorescence) and RF (red fluorescence) binary images.
In addition, a CARS image can be converted to a binary image for measurements of number and size distribution of lipid droplets using the particle analysis function of the ImageJ software.
By thresholding the structure image intensity, a binary mask with the same size of structure image can be generated.
But image can be fleeting.
We recently reported that EDI-OCT images can be converted to binary images, which can then be used to quantify the luminal and interstitial areas of the choroid [ 2].
More suggestions(16)
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binary representation can be
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binary code can be
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