英語 での Alpha value の使用例とその 日本語 への翻訳
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Alpha Value Term Definition.
This calculation reflects the alpha value.
(Alpha value is approx 1.0).
A pixel with an alpha value of 255 is fully opaque.
Alpha Value- short version.
Make 32bpp layer opaque. Alpha value becomes 255.
Alpha Value determined as transparent:0.
The pixel data contains alpha values that are not premultiplied.
An alpha value of 0 is fully transparent.
Besides its Red, Green and Blue values, a pixel has an alpha value.
An alpha value of 255 is fully opaque.
The specified color canbe changed to transparent just by manipulating the alpha value.
An alpha value of 255 is fully opaque.
Adds 4- and 8-digit hex color values, where the last digit(s)represents the alpha value.
Color with an alpha value of 255 is completely opaque.
An alpha value of 255 results in a fully opaque color.
As a result the pixels of the red rectangle inherit the alpha value(the transparency) of the mask content, and we see a green-to-red gradient as a result:.
The alpha value that can be reflected is the alpha of the texture.
For a cluster-based permutations analysis, select a t-value threshold, corresponding to the desired alpha level(recommended alphas range from .01 to .20;note that this alpha value does not represent the overall test's alpha level, merely the level required for individual time-bins to exceed the threshold).
If the alpha value for a given RTD is not specified, it is usually 0.00385.
Unlike with sprites, the alpha value is not valid(Semitransparent representation is not allowed).
Alpha value represents the motion of the device around the z axis, represented in degrees with values ranging from 0 to 360.
Having a slightly higher alpha value of 0.00392, it follows what is known as the American curve.
If the alpha value for an RTD is not specified, it is assumed to be .00385.
The white line represent alpha value, or opacity. You can edit alpha value independently to the color components.
For example, use an Alpha value equal to 0.01 to compute a 99% confidence interval, which is reflected in the bounds RL and RU.
It returns the colour and the alpha value stored with the properties. But, since it needs to return the colour information this time.
If you applied an ordinary t-test in this situation, the alpha value would apply to each comparison, so the chance of incorrectly finding a significant difference would increase with the number of comparisons.