一种基于图像处理的织物起毛起球检测装置及其方法
By using an image processing-based fabric pilling detection device, image segmentation and feature recognition algorithms are employed to solve the problem of identification errors caused by color similarity in fabric pilling detection, thus achieving fast and accurate fabric pilling detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU SHANGDONG DYEING & FINISHING CO LTD
- Filing Date
- 2025-12-03
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for detecting fabric pilling require omnidirectional scanning to obtain accurate data. However, because the colors of pilling and fuzzing areas are similar, they can easily lead to machine recognition errors, and the detection speed is relatively slow.
A fabric pilling and fuzzing detection device based on image processing is adopted. The extraction module analyzes the detection requirements, the simulation module adjusts the environment, the test module simulates pilling and fuzzing, the auxiliary module sprays markers to enhance contrast, and the acquisition module captures images and quantifies the degree of pilling and fuzzing through image segmentation and feature recognition algorithms to generate a detection report.
It improves the visual contrast between the pilling and non-pilling areas of the fabric, reduces identification errors, increases detection speed and accuracy, and achieves automated and precise data acquisition.
Smart Images
Figure CN121678348B_ABST