Principal Component Analysis (PCA) on images in MATLAB (GUI)

Versione 1.0.5 (12,2 MB) da ABHILASH SINGH

https://www.abhilashsingh.net

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5.0

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Aggiornato 17 gen 2020

Visualizza la licenza su GitHub

First, upload a colour image by clicking on the “upload an image button”. The acceptable image formats are png, jpg, jpeg, img and tif. Then click on the "Plot the grayscale image". After that enter the no. of PC's up to which you want to retrieve the images (both colour and grayscale).

An error message/box will pop-up when you enter a number greater than the no. of PCs for that particular image. Also, an error will message will pop-up when the entered input is not a number.

Please go through this link for detail explanation;

https://medium.com/@abhilash.singh/principal-component-analysis-pca-on-images-in-matlab-a-graphical-user-interface-gui-3d4999ddd0d0

For a detail understanding of PCA, please refer my lecture on PCA;

https://www.youtube.com/watch?v=ZLpQ6cbHxmY

Enjoy!!!

Cita come

ABHILASH SINGH (2024). Principal Component Analysis (PCA) on images in MATLAB (GUI) (https://github.com/abhilash12iec002/Principal-Component-Analysis-PCA-on-images-in-MATLAB-GUI-), GitHub. Recuperato aprile 19, 2024.

Compatibilità della release di MATLAB

Creato con R2019b

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Categorie

AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >

Scopri di più su Dimensionality Reduction and Feature Extraction in Help Center e MATLAB Answers

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Riconoscimenti

Ispirato da: Real Time Object Detection using Deep Learning.

Ispirato: Principal Component Analysis (PCA) on LANDSAT-8 imagery , Linear Regression plot with Confidence Intervals in MATLAB, Verifying convolution theorem in image processing (2-D)

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PCA_final

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
1.0.5	17 gen 2020	Added video link.
1.0.4	13 mar 2020	Link update
1.0.3	27 nov 2019	https://medium.com/@abhilash.singh/principal-component-analysis-pca-on-images-in-matlab-a-graphical-user-interface-gui-3d4999ddd0d0
1.0.2	24 nov 2019	GitHub upload
1.0.1	11 nov 2019	Increases the no. of acceptable image format.	Scarica
1.0.0	5 nov 2019		Scarica

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.