Improved HED-based Edge Detection Algorithm for Plastic Bottle Mouths
CHEN Yidan
ZHOU Qinghua
ZENG Xiaowei
Abstract：Plastic bottles can produce defective products at the mouth of the bottle during the actual production process,such as worn,broken,dirty,etc.Such defective bottle tops cannot be sealed,which greatly affects the sealing of the bottle and thus en-dangers the health of the user.Machine vision-based methods can efficiently and automatically achieve defect detection,and edge detection is a very important part of bottle top defect detection.To this end,an improved Holistically-nested Edge Detection(HED)method is proposed to be applied to the edge detection of plastic bottle tops.In this paper,different edge detection algorithms are used for bottle mouth defect detection,and the performance is evaluated based on the subjective evaluation index F-measure value and the PR curve is plotted.The results show that the detection effect value of the improved HED network has a significant improve-ment over the original HED network.The paper then performs edge detection on the test images and finds that the improved HED network extracts edges with better completeness than the traditional edge algorithm and can meet the subsequent defect detection re-quirements.
Keywords：machine visionimage processingbottle mouth detectionedge detection
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3258-3263 )