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Mean Value of Pixels in Subimage Formula

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Mean Value of Pixels in Subimage is a measure of the average intensity level within that particular region of an image. Check FAQs

z' = \sum (x, 0, L - 1, z i \cdot Ps_z i)

z^' - Mean Value of Pixels in Subimage?L - Number of Intensity Levels?z_i - Intensity Level of ith Pixel in Subimage?Ps_z_i - Probability of Zi in Subimage?

Mean Value of Pixels in Subimage Example

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Here is how the Mean Value of Pixels in Subimage equation looks like with Values.

Here is how the Mean Value of Pixels in Subimage equation looks like with Units.

Here is how the Mean Value of Pixels in Subimage equation looks like.

6 = \sum (x, 0, 4 - 1, 0.5 \cdot 3)

6 = \sum (x, 0, 4 - 1, 0.5 \cdot 3)

6 = \sum (x, 0, 4 - 1, 0.5 \cdot 3)

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Mean Value of Pixels in Subimage Solution

Follow our step by step solution on how to calculate Mean Value of Pixels in Subimage?

FIRST Step Consider the formula

z' = \sum (x, 0, L - 1, z i \cdot Ps_z i)

Next Step Substitute values of Variables

∴

z' = \sum (x, 0, 4 - 1, 0.5 \cdot 3)

Next Step Prepare to Evaluate

∴

z' = \sum (x, 0, 4 - 1, 0.5 \cdot 3)

LAST Step Evaluate

∴

z' = 6

Mean Value of Pixels in Subimage Formula Elements

Variables

Functions

Mean Value of Pixels in Subimage

Mean Value of Pixels in Subimage is a measure of the average intensity level within that particular region of an image.

Symbol: z^'

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Mean Value of Pixels in Subimage

Number of Intensity Levels

Number of Intensity Levels is the total number of distinct intensity values an image can represent, determined by its bit depth.

Symbol: L

Measurement: NAUnit: Unitless

Note: Value should be greater than 0.

Formulas to find Number of Intensity Levels

Intensity Level of ith Pixel in Subimage

Intensity Level of ith Pixel in Subimage refers to the brightness or grayscale value of that pixel within a smaller portion of an image.

Symbol: z_i

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Intensity Level of ith Pixel in Subimage

Probability of Zi in Subimage

Probability of Zi in Subimage refers to the likelihood of encountering that particular intensity value within the subset of pixels that compose the subimage.

Symbol: Ps_z_i

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Probability of Zi in Subimage

sum

Summation or sigma (∑) notation is a method used to write out a long sum in a concise way.

Syntax: sum(i, from, to, expr)

Other formulas in Intensity Transformation category

Go Wavelength of Light

W = \frac{[c]}{v}

Go Number of Intensity Levels

L = 2^{n b}

Go Bits Required to Store Digitized Image

n id = M \cdot N \cdot n b

Go Bits Required to Store Square Image

b s = {(N)}^{2} \cdot n b

How to Evaluate Mean Value of Pixels in Subimage?

Mean Value of Pixels in Subimage evaluator uses Mean Value of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Intensity Level of ith Pixel in Subimage*Probability of Zi in Subimage) to evaluate the Mean Value of Pixels in Subimage, The Mean Value of Pixels in Subimage formula is a measure of the average intensity level within that particular region of an image. Mean Value of Pixels in Subimage is denoted by z^' symbol.

How to evaluate Mean Value of Pixels in Subimage using this online evaluator? To use this online evaluator for Mean Value of Pixels in Subimage, enter Number of Intensity Levels (L), Intensity Level of ith Pixel in Subimage (z_i) & Probability of Zi in Subimage (Ps_z_i) and hit the calculate button.

FAQs on Mean Value of Pixels in Subimage

What is the formula to find Mean Value of Pixels in Subimage?

The formula of Mean Value of Pixels in Subimage is expressed as Mean Value of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Intensity Level of ith Pixel in Subimage*Probability of Zi in Subimage). Here is an example- 6 = sum(x,0,4-1,0.5*3).

How to calculate Mean Value of Pixels in Subimage?

With Number of Intensity Levels (L), Intensity Level of ith Pixel in Subimage (z_i) & Probability of Zi in Subimage (Ps_z_i) we can find Mean Value of Pixels in Subimage using the formula - Mean Value of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Intensity Level of ith Pixel in Subimage*Probability of Zi in Subimage). This formula also uses Summation Notation Function function(s).

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Mean Value of Pixels in Subimage Formula

Mean Value of Pixels in Subimage Example

Mean Value of Pixels in Subimage Solution

Mean Value of Pixels in Subimage Formula Elements

Other formulas in Intensity Transformation category

How to Evaluate Mean Value of Pixels in Subimage?

FAQs on Mean Value of Pixels in Subimage

Variable Name