Texture Feature Extraction using Local Binary Pattern (MATLAB)

Pubblicato il: 16 settembre 2020
sul canale di: Knowledge Amplifier

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Prerequisite:
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Local Binary Pattern (Theory)
   • Local Binary Pattern (Theory)
Here is one complete project where this feature is used----
Facial expression recognition based on Local Binary Patterns & SVM
   • Facial expression recognition based o...
And if you are python user , then you can explore this function--
https://scikit-image.org/docs/dev/aut...
This is very important feature if you want to play with texture part (in ML usecases) of the image.

Code:
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clc
clear all
warning off
brickWall=imread('bricks.jpg');
rotatedBrickWall=imread('bricksRotated.jpg');
lbpBricks1=extractLBPFeatures(brickWall,'Upright',false);
lbpBricks2=extractLBPFeatures(rotatedBrickWall,'Upright',false);
brickVsBrick=(lbpBricks1-lbpBricks2).^2;
figure;
bar(brickVsBrick);
title('Rotation Independent');
grid on;

clc
clear all
warning off
brickWall=imread('bricks.jpg');
carpet=imread('carpet.jpg');
lbpBricks1=extractLBPFeatures(brickWall,'Upright',false);
lbpBricks2=extractLBPFeatures(carpet,'Upright',false);
brickVsBrick=(lbpBricks1-lbpBricks2).^2;
figure;
bar(brickVsBrick);
title('Rotation Independent');
grid on;

Learn Digital Image Processing using MATLAB:
   • Digital Image Processing using MATLAB
Learn Data Science & Machine Learning using MATLAB:
   • Data Science & Machine Learning using...

#DigitalImageProcessing #MATLAB #ComputerVision

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