## Mean Value of Pixels in Subimage Solution

STEP 0: Pre-Calculation Summary
Formula Used
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)
z' = sum(x,0,L-1,zi*Ps_zi)
This formula uses 1 Functions, 4 Variables
Functions Used
sum - Summation or sigma (∑) notation is a method used to write out a long sum in a concise way., sum(i, from, to, expr)
Variables Used
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.
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.
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.
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.
STEP 1: Convert Input(s) to Base Unit
Number of Intensity Levels: 4 --> No Conversion Required
Intensity Level of ith Pixel in Subimage: 0.5 --> No Conversion Required
Probability of Zi in Subimage: 3 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
z' = sum(x,0,L-1,zi*Ps_zi) --> sum(x,0,4-1,0.5*3)
Evaluating ... ...
z' = 6
STEP 3: Convert Result to Output's Unit
6 --> No Conversion Required
6 <-- Mean Value of Pixels in Subimage
(Calculation completed in 00.004 seconds)
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## Credits

Created by Zaheer Sheik
Seshadri Rao Gudlavalleru Engineering College (SRGEC), Gudlavalleru
Zaheer Sheik has created this Calculator and 25+ more calculators!
Verified by Dipanjona Mallick
Heritage Insitute of technology (HITK), Kolkata
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## <Intensity Transformation Calculators

Bits Required to Store Digitized Image
​ Go Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits
Bits Required to Store Square Image
​ Go Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits
Wavelength of Light
​ Go Wavelength of Light = [c]/Frequency of Light
Number of Intensity Levels
​ Go Number of Intensity Levels = 2^Number of Bits

## Mean Value of Pixels in Subimage 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)
z' = sum(x,0,L-1,zi*Ps_zi)

## What is the purpose of calculating Mean Value of Pixels in Subimage?

The purpose of calculating Mean Value of Pixels in Subimage is to Calculate the mean value of pixels in a subimage provides insight into the overall brightness of the region, aids in normalization, enhances contrast, assists in thresholding for segmentation.

## How to Calculate Mean Value of Pixels in Subimage?

Mean Value of Pixels in Subimage calculator 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 calculate 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 calculate Mean Value of Pixels in Subimage using this online calculator? To use this online calculator for Mean Value of Pixels in Subimage, enter Number of Intensity Levels (L), Intensity Level of ith Pixel in Subimage (zi) & Probability of Zi in Subimage (Ps_zi) and hit the calculate button. Here is how the Mean Value of Pixels in Subimage calculation can be explained with given input values -> 6 = sum(x,0,4-1,0.5*3).

### FAQ

What is 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 and is represented as z' = sum(x,0,L-1,zi*Ps_zi) or 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). Number of Intensity Levels is the total number of distinct intensity values an image can represent, determined by its bit depth, Intensity Level of ith Pixel in Subimage refers to the brightness or grayscale value of that pixel within a smaller portion of an image & Probability of Zi in Subimage refers to the likelihood of encountering that particular intensity value within the subset of pixels that compose the subimage.
How to calculate 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 is calculated using 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 calculate Mean Value of Pixels in Subimage, you need Number of Intensity Levels (L), Intensity Level of ith Pixel in Subimage (zi) & Probability of Zi in Subimage (Ps_zi). With our tool, you need to enter the respective value for Number of Intensity Levels, Intensity Level of ith Pixel in Subimage & Probability of Zi in Subimage and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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