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

Versione 1.0.5 (12,2 MB) da ABHILASH SINGH
Principal Component Analysis (PCA) on images in MATLAB (GUI)
5.0
(2)
1,3K download
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 .

Compatibilità della release di MATLAB
Creato con R2019b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
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Versione Pubblicato Note della release
1.0.5

Added video link.
1.0.4

Link update
1.0.3

https://medium.com/@abhilash.singh/principal-component-analysis-pca-on-images-in-matlab-a-graphical-user-interface-gui-3d4999ddd0d0
1.0.2

GitHub upload
1.0.1

Increases the no. of acceptable image format.
1.0.0

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