Research on apple leaf disease segmentation method based on improved U-net

Fan Xu; Chunman Yan

doi:10.1117/12.3037273

22 October 2024 Research on apple leaf disease segmentation method based on improved U-net

Fan Xu, Chunman Yan

Proceedings Volume 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024); 132740J (2024) https://doi.org/10.1117/12.3037273
Event: Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 2024, Haikou, HI, China

Abstract

With the rapid development of deep learning theory in the field of image processing, its potential in the detection and recognition of agricultural diseases is gradually emerging. Given that apple leaf diseases are one of the common types of apple diseases that directly affect yield and quality, and considering the limitations of traditional segmentation methods, this paper proposes an apple leaf disease image segmentation method based on an improved U-net network. To overcome the deficiencies in detail capture and segmentation accuracy of existing methods, a pre-trained VGG16 network is introduced as a feature encoder, and an Enhanced Convolution Layer (EnhancedConvLayer) is proposed. The design of this layer includes parallel processing paths to fuse different feature information and incorporates the Convolutional Block Attention Module (CBAM), aiming to enhance the model's focus on key image features. Experimental results on the ATLDSD dataset show that the improved model achieves better Mean Intersection over Union (mIoU) and Mean Pixel Accuracy (MPA) than U-net, SegNet, and Unet++ in the detection of apple leaf diseases.

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

Citation Download Citation

Fan Xu and Chunman Yan "Research on apple leaf disease segmentation method based on improved U-net", Proc. SPIE 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 132740J (22 October 2024); https://doi.org/10.1117/12.3037273

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Diseases and disorders

Data modeling

Image segmentation

Performance modeling

Image enhancement

Education and training

Mathematical optimization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years