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- Yixiang Frank Zhang and Randall R. Bresee,“Fabric Defect Detection and and Classification Using Image Analysis,”The University of Tennessee, U.S.A.,1995. 谢志云,”应用机器视觉于方向性纹路之表面缺陷检测”,元智大学工业工程研究所硕士论文,1998。
- Owing to numerous kinds of fabric weaves and varied characteristics of fabric surface, it is very difficult to establish a universal fabric defect detection model. 摘要因织物组织繁多,表面特征各异,很难建立一个统一的织物疵点识别模型。
- Recent Progress of Computer-vision-based Fabric Defects Detection 基于计算机视觉的织物疵点检测的近期进展
- Recent studies on automatic fabric defect detection technique 织物疵点自动检测技术的研究进展
- Fabric Defect Detection Method Based on Image Distance Difference 基于图像距离差的织物疵点检测算法
- Fabric Defects Detection with Wold-based Texture Model and Fractal Theory 基于Wold纹理模型和分形理论的织物疵点检测
- Fabric Defect Detection with Two Dimensional Continuous Wavelet Transform 基于二维连续小波变换的织物疵点检测
- The Study of Real-time Automatic on-loom Fabric Defect Detection System 织布机上自动实时检测系统的研究
- Fabric Defect Detection Based on Quadratic Spline Wavelet Transform Modulus Maximum 基于二次样条小波变换极大模的织物疵点检测方法
- Fabric Defect Detection with Two-Dimensional Wavelet Transform and BP Neural Network 基于二维小波变换和BP神经网络的织物疵点检测方法
- fabric defects detection 织疵检测
- fabric defect detection 织物疵点检测
- Keywords fabric defect detection,fabric automatic inspection,computer vision inspection,adaptive orthonormal wavelet,textile image wavelet decomposition,textile texture recognition; 织物疵点检测;织物自动检验;计算机视觉检测;小波分解;自适应正交小波;织物图像小波分解;纺织纹理识别;
- This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA). 文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
- The application of wavelet analysis to image de-noising to enhance images for automatically detecting fabric defects is probed. 对采用小波分析去除噪声来进行疵点图像的增强以用于织物疵点自动检测进行了探索。
- Defects Detection of Composite Material Using Technique of Singlemode Optical Fiber and Thermogam[J]. 引用该论文 王祥林;蒋克俭;姜 涛;吴善鹏.
- Surface defect detection is important to ensure the utility,integrality,and security of the products. 产品表面缺损检测对保证产品的使用性能、完整性和安全性具有重要意义。
- M.-Ch. Pan, H.-B. Zhuang and Sh.-Y. Lee, “Apparatus and Method of Irregular Bone Defect Detection of Dental Implant” (US patent Pending). 潘敏俊、庄瀚伯、李世元,“牙科植体不规则骨缺损检测评估方法”(中华民国发明专利,申请号:096105803,申请日期:2007/2/15)。
- No doubt, the successful application of wavelet technique is of practical significance on improving PWB defect detection level. 小波技术的成功应用,无疑对于提高印刷线路板缺陷检测技术水平具有十分重要的实际意义。
- The experimental results indicated that it could recognize and localize accurately,carry on the textile defect detection effectively. 实验结果表明,对油污、破洞、断经、断纬能比较准确地识别和定位,可快速有效地进行织物疵点检测。