Dissertation > Excellent graduate degree dissertation topics show

Research on Image Mosaic Based on SIFT Feature Points

Author: YangYanWei
Tutor: GuoBaoLong
School: Xi'an University of Electronic Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Image Stitching Image registration SIFT features Cylindrical panoramic images
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 1538
Quote: 21
Read: Download Dissertation


High-resolution wide-field image or video is becoming more and more important in some areas , such as photogrammetry in the panoramic view of the structure, the realization of panoramic video surveillance system , especially to build virtual reality technology , virtual environment . Image stitching technology to solve the problem of vision and resolution of contradictions , and therefore it has become a hot issue in the field of image processing . This article first more detailed description of the status and application of the field of image stitching technology at home and abroad . Then introduces the key technology of image registration and image fusion , image stitching technology to analyze and summarize the main method , and performance , as well as the existing problems . This paper focuses on the feature point - based image registration and image stitching technology , and Harris feature points and SIFT (Scale Invariant Feature Transform) feature point matching technology to carry out in-depth research and analysis . Combined with the lack of SIFT algorithm and Harris algorithm proposed ISFIT algorithm , the algorithm first the SIFT detection algorithm to extract the SIFT feature points , and then in the neighborhood of the SIFT feature points detection Harris corner to enhance the unique nature of the feature points . At the same time , by means of SIFT features for rotation and scale invariance as well as for noise , brightness change good robustness solve the Harris feature detection sensitive issue for the scale changes , making the image registration under the large -scale changes to become possible. Improvements SIFT feature point extraction method , pre - addition to the part of the unstable nature of the point and improve the probability of matching the speed and the correct match . Experimental results show that the algorithm is invariant for rotation , scale changes , with better robustness for noise as well as changes in the brightness of the image , and the matching speed improvements before nearly doubled . The paper concludes with a discussion of cylindrical panoramic image stitching technology , and put forward a cylindrical panoramic image stitching solutions .

Related Dissertations

  1. Research of Image Mosaic Technology,TP391.41
  2. Study on Image Registration and Image Matching of the Robot System for Substation Equipment Inspection,TP242.62
  3. Study on the Image Registeration Integrated with the LQ Model,R815
  4. Research and Implementation of Non-rigid Medical Image Registration Method Based on Improved Optical Flow Model,TP391.41
  5. Algorithm and Implementation Based on Non-rigid Medical Image Registration,TP391.41
  6. GPU-based SIFT algorithm,TP391.41
  7. Real-time video display system key technology research,TP391.41
  8. Object Detection and Accurate Localization in Industrial Application,TP391.41
  9. TDICCD large field of multi-channel image mosaic method automatically,TP391.41
  10. Research for Super-resolution Reconstruction Technologies of Image Based on POCS Algorithm,TP391.41
  11. Medical image registration platform and combines new gray with geometric information Registration Measures,TP391.41
  12. Based on the geometry of multiple images and textures automatically rebuild,TP391.41
  13. Infrared and visible image registration and fusion research,TP391.41
  14. Aerial image enhancement processing and splicing technology,TP391.41
  15. Coaxial different field picture image registration algorithm,TP391.41
  16. SVM Based on SIFT and scene classification,TP391.41
  17. Feature points based spatial information distribution histogram matching method,TP391.41
  18. PDE-based image registration and fusion method,TP391.41
  19. Image registration based on the rotation angle calculation methods sand,TP391.41
  20. CT and ultrasound data registration studies and implementation,TP391.41
  21. The Next Generation Sequencing Data Processing,TP391.41

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