LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips

LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips

Chip defect detection is a crucial aspect of the semiconductor production industry, given its significant impact on chip performance. This paper proposes a lightweight neural network with dual decoding paths for LED chip segmentation, named LDDP-Net. Within the LDDP-Net framework, the receptive fiel...

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Bibliographic Details
Main Authors: Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
deep learning
defect detection
feature fusion
lightweight network
semantic segmentation
digital images
Online Access:https://www.mdpi.com/1424-8220/25/2/425
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