Texture Feature Extraction using Local Binary Pattern (MATLAB)

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Prerequisite:
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Local Binary Pattern (Theory)
Here is one complete project where this feature is used----
Facial expression recognition based on Local Binary Patterns & SVM
And if you are python user , then you can explore this function--
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
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
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:
Learn Data Science & Machine Learning using MATLAB:

#DigitalImageProcessing #MATLAB #ComputerVision

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Комментарии

Undefined function or variable
'extractLBPFeatures'.

lbpAreca1 = extractLBPFeatures(areca); this error is coming. What to do sir??

kruthikahu

Further how can we use LBP and HOG feature extraction together for multiples images in multiple folders / 2 folders having benign and malignant cases

rajshreesrivastava

Hi, may I how can I use the histogram data obtained for training? what features or data are being extracted from the histogram

aiesyajasni

Can u plz explain
F= extractLBPfeatures(I)

rajshreesrivastava

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