Dissertation > Excellent graduate degree dissertation topics show

Recognition Algorithm Research of Fabric Defect On-line Detection

Author: ZhangJinLin
Tutor: LiYongï¼›ShangHuiChao
School: Zhongyuan Institute of Technology
Course: Mechanical and Electronic Engineering
Keywords: Fabric defects Feature Extraction Online testing Wavelet Transform Neural Networks
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 38
Quote: 0
Read: Download Dissertation

Abstract


With the development of industrial automation , textile production automation is an inevitable trend . The ensuing product quality more and more attention , improve product quality, accelerate the study of automatic detection technology is a priority . The recognition algorithm based on machine vision technology fabric image online testing research , and the completion of the research and implementation of the gray fabric online testing key technologies . First , establish the evaluation criteria of the fabric classification and defect characteristics were analyzed , and provides a basis for recognition classification ; discusses fabric defect detection principle fabric defect detection software online system design , detailed analysis of the process of the image on fabric image pre-processing made ??a brief presentation . Secondly , after equalization , median filtering and dislocation poor shadow algorithm pretreatment , higher quality images , remove noise and reduce the impact of the fabric texture based structure straight square wave , wavelet transform and mathematical morphology learn defect feature extraction method . First image on the gray fabric in the space domain structure straight square wave and wavelet transform , the extracted image feature values ??, determines whether the defect . If the defects, and then the binary image threshold segmentation , mathematical morphology method to extract the geometric features of fabric defects for defect classification . Algorithm , first using the Lab VIEW software quickly and easily on algorithm analysis and programming using Visual C combined with optimized instruction set computer - based hardware IPP class library feature extraction algorithm . Finally, the identification and classification of fabric defects , proposed the establishment of two neural networks , a for discriminant fabric image if there is defect , the other is used to classify images containing defects . Standard BP network algorithm based on an improved BP algorithm , and applied to the gray fabric online testing , the results show that the improved BP algorithm to train speed , high accuracy of recognition classification .

Related Dissertations

  1. High Speed Frequency Measurment and Non-Linearity Correction of Frequency Modulated Capacitive Displacement Sensor,TH822
  2. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  3. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  4. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  5. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  6. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  7. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  8. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  9. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  10. Multi-currency Notes Technology Research and Implementation,TP391.41
  11. Pavement Distress Recognition Based on Image,TP391.41
  12. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  13. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  14. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  15. Research on Anti-periodic Solutions of Delayed Cellular Neural Networks without Assuming Global Lipschitz Conditions,TP183
  16. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  17. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  18. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  19. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  20. The Compression and Fusion Technique Research of Underwater Target Feature,TN911.7
  21. Spectrum Variation of Vegetation in Yanzhou Coal Mine Area and Heavy Metal Stress Characteristic,X173

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile