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The characteristics and novelty of the proposed method are given by the way of integrating the particularity of these biological signals (the four input channels and the intensities distribution for E, S, and lumen) into widely accepted fast image preprocessing and segmentation methods.
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The intensities distributions of μ E are shown in Figure 7.
When an object such as two stars is imaged, the resultant intensity distribution in the image is determined by first finding the intensity distribution formed by each star.
The final image would then ideally be an image of the object intensity distribution.
The square of this resultant amplitude is the intensity distribution in the image.
For a continuous object intensity distribution this sum becomes an integral.
Electrical intensity distribution is represented by colors.
Particle size was evaluated by intensity distribution.
a Normalized intensity distribution of |E|2.
Simulated light intensity distribution vs astigmatism coefficient.
Adaptive gamma correction and cumulative intensity distribution.
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