微型机与应用2012，Vol.31Issue(23)：45-47,54,4.
联合LBP与SOM的多分辨率织物疵点检测
A multi-resolution fabric defects detection based on LBP and SOM
林似水 1郑力新1
作者信息
- 1. 华侨大学信息科学与工程学院,福建厦门361021
- 折叠
摘要
Abstract
In this paper, a muhi-resolution fabric defects detection based on LBP and SOM is introduced. Firstly, using image pyramid to downgrade decomposition for the fabric image, and different resolution images was get. Then, LBP is applied for every different resolution images, which are sent to prior trained self-organizing map neural network (SOM) to identify after feature extraction. Finally, it fuses the identified multi-level image, calculates the connected region of perimeter and area of removal of isolated points. The experimental results show that the algorithm has high detection speed and effect, and can be applied to a variety of different types of defect detection.关键词
疵点检测/LBP/SOM/图像金字塔Key words
defects detection/LBP/SOM/image pyramid分类
信息技术与安全科学引用本文复制引用
林似水,郑力新..联合LBP与SOM的多分辨率织物疵点检测[J].微型机与应用,2012,31(23):45-47,54,4.
