FormulaDen.com

Physics Chemistry Math Chemical Engineering Civil Electrical Electronics Electronics and Instrumentation Materials Science Mechanical Production Engineering Financial Health

Mean Value of Pixels in Neighborhood Formula

Fx Copy

LaTeX Copy

Subimage Pixel Mean Intensity Level represents the mean intensity level of pixels in the subimage S_xy. Check FAQs

m Sxy = \sum (x, 0, L - 1, r i \cdot p Sxy_ri)

m_Sxy - Subimage Pixel Mean Intensity Level?L - Number of Intensity Levels?r_i - Pixel Intensity Level?p_{Sxy_ri} - Probability of Occurrence of Rith in Subimage?

Mean Value of Pixels in Neighborhood Example

With values

With units

Only example

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

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

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

15 = \sum (x, 0, 4 - 1, 15 \cdot 0.25)

15 = \sum (x, 0, 4 - 1, 15W/m² \cdot 0.25)

15 = \sum (x, 0, 4 - 1, 15 \cdot 0.25)

Tip: Use pencil ( Pencil

) icon above to edit Input Values and Units.

Calculate

Recalculate

Solution

Copy

Reset

You are here -

Home » Category

Engineering » Category

Electronics » Category

Digital Image Processing » fx Mean Value of Pixels in Neighborhood

Mean Value of Pixels in Neighborhood Solution

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

FIRST Step Consider the formula

m Sxy = \sum (x, 0, L - 1, r i \cdot p Sxy_ri)

Next Step Substitute values of Variables

∴

m Sxy = \sum (x, 0, 4 - 1, 15W/m² \cdot 0.25)

Next Step Prepare to Evaluate

∴

m Sxy = \sum (x, 0, 4 - 1, 15 \cdot 0.25)

LAST Step Evaluate

∴

m Sxy = 15

Mean Value of Pixels in Neighborhood Formula Elements

Variables

Functions

Subimage Pixel Mean Intensity Level

Subimage Pixel Mean Intensity Level represents the mean intensity level of pixels in the subimage S_xy.

Symbol: m_Sxy

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Subimage Pixel Mean Intensity Level

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

Pixel Intensity Level

Pixel Intensity Level refer to the range of possible intensity values that can be assigned to pixels in an image. This concept is particularly relevant in grayscale images.

Symbol: r_i

Measurement: IntensityUnit: W/m²

Note: Value should be greater than 0.

Formulas to find Pixel Intensity Level

Probability of Occurrence of Rith in Subimage

Probability of Occurrence of Rith in Subimage represents the probability of occurrence of the intensity level r_i within the subimage S_xy.

Symbol: p_{Sxy_ri}

Measurement: NAUnit: Unitless

Note: Value should be less than 1.1.

Formulas to find Probability of Occurrence of Rith 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 Neighborhood?

Mean Value of Pixels in Neighborhood evaluator uses Subimage Pixel Mean Intensity Level = sum(x,0,Number of Intensity Levels-1,Pixel Intensity Level*Probability of Occurrence of Rith in Subimage) to evaluate the Subimage Pixel Mean Intensity Level, The Mean Value of Pixels in Neighborhood formula is used to find global mean which is computed over an entire image and are useful for gross adjustments in overall intensity and contrast. Subimage Pixel Mean Intensity Level is denoted by m_Sxy symbol.

How to evaluate Mean Value of Pixels in Neighborhood using this online evaluator? To use this online evaluator for Mean Value of Pixels in Neighborhood, enter Number of Intensity Levels (L), Pixel Intensity Level (r_i) & Probability of Occurrence of Rith in Subimage (p_{Sxy_ri}) and hit the calculate button.

FAQs on Mean Value of Pixels in Neighborhood

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

The formula of Mean Value of Pixels in Neighborhood is expressed as Subimage Pixel Mean Intensity Level = sum(x,0,Number of Intensity Levels-1,Pixel Intensity Level*Probability of Occurrence of Rith in Subimage). Here is an example- 15 = sum(x,0,4-1,15*0.25).

How to calculate Mean Value of Pixels in Neighborhood?

With Number of Intensity Levels (L), Pixel Intensity Level (r_i) & Probability of Occurrence of Rith in Subimage (p_{Sxy_ri}) we can find Mean Value of Pixels in Neighborhood using the formula - Subimage Pixel Mean Intensity Level = sum(x,0,Number of Intensity Levels-1,Pixel Intensity Level*Probability of Occurrence of Rith in Subimage). This formula also uses Summation Notation (sum) function(s).

Let Others Know

✖

Facebook

Twitter

Copied!

: Value
: Unit

Mean Value of Pixels in Neighborhood Formula

Mean Value of Pixels in Neighborhood Example

Mean Value of Pixels in Neighborhood Solution

Mean Value of Pixels in Neighborhood Formula Elements

Other formulas in Intensity Transformation category

How to Evaluate Mean Value of Pixels in Neighborhood?

FAQs on Mean Value of Pixels in Neighborhood

Variable Name