Super-resolution for the extracted region of fruit image

Caiyu Chen; Weiqin Huang; Buyun Zhang

doi:10.1117/12.3034860

11 July 2024 Super-resolution for the extracted region of fruit image

Caiyu Chen, Weiqin Huang, Buyun Zhang

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321014 (2024) https://doi.org/10.1117/12.3034860
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

This paper proposes a method for super-resolution reconstruction of fruit images. Firstly, in order to eliminate background interference and reconstruct fruit regions more targeted, the K-means clustering algorithm based on Lab color space is used to automatically extract the fruit regions from whole fruit images. This method can be applied to fruit images with different backgrounds. Then, the ANR model is used to achieve fast reconstruction for the fruit region image. Finally, a global error compensation optimization algorithm is used to further correct global brightness or color errors in the fruit region image and improve its overall quality. The experimental results show that the algorithm proposed can accurately extract regions of interest for fruits in images with different complex backgrounds. Meanwhile, PSNR data indicates that the image reconstruction and optimization algorithm proposed has certain advantages and practicality.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Caiyu Chen, Weiqin Huang, and Buyun Zhang "Super-resolution for the extracted region of fruit image", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321014 (11 July 2024); https://doi.org/10.1117/12.3034860

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available