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

version 1.0.4 (12.2 MB) by ABHILASH SINGH
Principal Component Analysis (PCA) on images in MATLAB (GUI)

39 Downloads

Updated 13 Mar 2020

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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

Enjoy!!!

Cite As

ABHILASH SINGH (2020). Principal Component Analysis (PCA) on images in MATLAB (GUI) (https://github.com/abhilash12iec002/Principal-Component-Analysis-PCA-on-images-in-MATLAB-GUI-), GitHub. Retrieved .

Comments and Ratings (3)

ABHILASH SINGH

Thanks, Pankaj and Cao Wei for your review.

条曹味 啊

Pankaj Kumar

Bahut khoob.

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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