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

version 1.0.1 (5.41 MB) by ABHILASH SINGH
Principal Component Analysis (PCA) Graphical User Interface for ease of understanding


Updated 11 Nov 2019

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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.


Cite As

ABHILASH SINGH (2019). Principal Component Analysis (PCA) on images in MATLAB (GUI) (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Bahut khoob.



Increases the no. of acceptable image format.

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

Inspired by: Real Time Object Detection using Deep Learning.

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