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Recognition, Localization and 3D Geometric Morphology Calculation of Microblind Holes in Complex Backgrounds Based on
Chengfen Zhang1, Dong Xia1, Ruizhao Chen1
1College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Journal of Imaging
|March 27, 2026
Summary
This study introduces an improved YOLOv11s model and Area-Volume Computation (AVC) algorithm for precise microblind hole detection and 3D morphology calculation in complex backgrounds, meeting industrial inspection standards.
Area of Science:
- Manufacturing Engineering
- Computer Vision
- Metrology
Background:
- Accurate quality inspection of microblind holes is crucial but challenging due to size, depth, and contour variations.
- Identifying microblind hole contours and calculating 3D parameters using machine vision presents significant difficulties, especially in complex textures.
Purpose of the Study:
- To develop a robust method for recognizing, localizing, and calculating the 3D morphology of microblind holes.
- To address the challenges of detecting microblind holes in complex backgrounds and accurately determining their geometric parameters.
Main Methods:
- An improved YOLOv11s model was utilized for multi-object detection of microblind holes in complex texture backgrounds.
- An Area-Volume Computation (AVC) algorithm, employing discrete integral estimation and curve-fitting, was developed for surface area and volume calculation.
Main Results:
- The improved YOLOv11s model achieved high performance metrics (precision: 0.915, recall: 0.948, mAP@0.5: 0.925).
- The AVC algorithm demonstrated low relative errors for surface area (5.236%) and volume (3.964%) calculations.
- The method achieved rapid detection with a prediction time of 1.27 ms.
Conclusions:
- The proposed integrated approach effectively meets cigarette on-site inspection criteria for microblind hole recognition, localization, and 3D morphology calculation.
- This research provides a valuable reference for detecting similar micro-objects in challenging backgrounds and performing accurate 3D metrology.
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