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

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

https://www.abhilashsingh.net

이 제출물을 팔로우합니다

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;
For a detail understanding of PCA, please refer my lecture on PCA;
https://www.youtube.com/watch?v=ZLpQ6cbHxmY
Enjoy!!!

인용 양식

ABHILASH SINGH (2026). Principal Component Analysis (PCA) on images in MATLAB (GUI) (https://github.com/abhilash12iec002/Principal-Component-Analysis-PCA-on-images-in-MATLAB-GUI-), GitHub. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 Dimensionality Reduction and Feature Extraction에 대해 자세히 알아보기

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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

1.0.0

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