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Poplar Optimization Algorithm || Step-By-Step || ~xRay Pixy

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The Poplar Optimization Algorithm (POA) is a nature-inspired optimization method based on how poplar trees reproduce. It uses sexual propagation (seed dispersal by wind) for exploration and asexual reproduction (cutting and regrowth) for exploitation. Mutation and chaos factors help maintain diversity and prevent premature convergence, making POA efficient for solving complex optimization problems. Learn the Poplar Optimization Algorithm Step-By-Step using Examples. Video Chapters: Poplar Optimization Algorithm (POA) 00:00 Introduction 02:12 POA Applications 03:32 POA Steps 05:50 Execute Algorithm 1 13:45 Execute Algorithm 2 16:38 Execute Algorithm 3 18:15 Conclusion Main Points of the Poplar Optimization Algorithm (POA) Nature-Inspired Algorithm ā€“ Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) ā€“ Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) ā€“ Strong branches grow ...
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how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example

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 Local Binary Pattern

Introduction to Local Binary Pattern (LBP)

Q. What is Digital Image?

A. Digital images are collections of pixels or numbers ( range from 0 to 255). 

Q. What is Pixel?

A. Pixel is the smallest element of any digital image. Pixel can be categorized as Dark Pixel and Bright Pixel. Dark pixels contain low pixel values and bright pixels contain high pixel values.

Q. Explain Local Binary Pattern (LBP)?

A. Local binary pattern is a popular technique used for image processing. We can use the local binary pattern for face detection and face recognition.

Q. What is LBP Operator?

A. LBP operator is an image operator. We can transform images into arrays using the LBP operator.

Q. How LBP values are computed?

A. LBP works in 3x3 (it contain a 9-pixel value ). Local binary pattern looks at nine pixels at a time. Using each 3x3 window in the digital image, we can extract an LBP code.

Q. How to Obtain LBP operator value? 

A. LBP operator values can be obtained by using the simple formula:

Here, i(n) is the neighbor pixel value and i(c) is the center pixel value.

Local Binary Pattern with Example Step-by-Step


Step-by-Step compute values for each pixel in a 3x3 window.
Compute the value for first pixel at (n=0)


Output: 
Compute the value for first pixel at (n=1)

Learn how to Calculate CORNER Pixel Values 


Output: 

Click Here to Watch Now

Like that compute values for each neighbor pixel. And in the end, you will get values as: 

Now Convert the binary pattern(11111111) into a Decimal number.

 255 means white color. 
Local Binary Pattern Output Image.

For more details: You can check this video: Local Binary Pattern Example 01 
how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example 1šŸŒž ~xRay Pixy
https://www.youtube.com/watch?v=h-z9-bMtd7w&t=2s

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Local Binary Pattern Example 02 

how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example 2šŸŒž ~xRay Pixy


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