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Second, images with different modalities are normally mapped to different intensity values.
With its different intensity values at different locations, it is similar to an image showing the kidney and the background, as shown in Figure 5(b).
Therefore, pixels in the same scratch can have very different intensity values, if the scratch passes across darker and brighter areas.
This makes it difficult to measure similarity based on their intensity values since the same content may be represented by different intensity values.
Note that the histogram distribution of intensity in each superpixel is approximately a normal distribution centered at different intensity values as illustrated in Fig. 3b, comparing to the overall histogram distribution shown in Fig. 3a.
Figure 3 The probability density function (PDF) of logarithmic returns of SZSE Component Index and the price model with the zero boundary condition ¿ 1 for different intensity values ¿ = 1.0, ¿ = 0.8, ¿ = 0.6, ¿ = 0.5, ¿ = 0.45, ¿ = 0.4 and ¿ = 0.3.
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Histogram is a graph showing the number of pixels at each different intensity value found in an image.
The two replicates available at time zero were used to derive the experimental error distribution at different intensity expression values and, consequently, the null hypothesis distribution of the area bounded by the treated-minus-control expression profile.
In Figure 1 we can see an example path where cell background colours (lower-bottom/right side) represent different pixel intensity values along the left and right scanlines respectfully.
To visualize the distribution of β-Catenin asymmetry and compare it to the distribution of PH3, the percentage of cells having different fluorescence intensity values has been plotted (supplementary material Fig. S3; compare A vs. B, C vs. D, E vs. F).
At different pixels, the intensity values are independent of one another.
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