Dissertation > Excellent graduate degree dissertation topics show

Research and Implementation of Multi-Features Fusion Based Image Retrieval Method

Author: WangBingMei
Tutor: TangShiWei
School: Daqing Petroleum Institute
Course: Petroleum Engineering Computing Technology
Keywords: Content-based image retrieval Feature extraction Similarity matching Multi-feature fusion
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 85
Quote: 0
Read: Download Dissertation

Abstract


Content-based image retrieval ( CBIR ) is currently a hot issue . The technology to extract the visual characteristics of the image , such as image color , texture, shape and other characteristics to be retrieved . In this paper, the retrieval method based on a single feature shortcomings : First division of the region to integrate spatial information of the image characteristics of the image , and then extract color and texture features of each divided region is proposed based on multi-feature fusion image retrieval method , Finally, the IRM algorithm as a regional similarity matching method . For the extraction of image low-level visual features and users on the differences that exist between the image semantic understanding , this paper presents an adaptive characteristics and regional weight . Finally, the image retrieval method based on multi- feature fusion the seismic image retrieval application in the field of geological exploration and design a CBIR seismic image retrieval experimental system . The experiments show that the use of multi-feature fusion image retrieval method , not only enhances the flexibility of image retrieval , and can greatly improve the efficiency of image retrieval .

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  4. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  5. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  6. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
  7. The Discovery of User Concept Region Based on Multiple Instance Learning,TP391.41
  8. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  9. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  10. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  11. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  12. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  13. Multi-currency Notes Technology Research and Implementation,TP391.41
  14. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  15. Pavement Distress Recognition Based on Image,TP391.41
  16. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  17. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  18. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  19. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  20. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  21. Research on Identification System of Cashmere and Wool Fiber,TS101.921

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