Dissertation > Excellent graduate degree dissertation topics show

The Research of Panoramic Images Mosaic Based on Image Sequences

Author: LinZuo
Tutor: HuaYuNing
School: Shenyang University of Technology
Course: Detection Technology and Automation
Keywords: Panoramic image mosaic Image registration Image fusion SIFT algorithm RANSAC algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 269
Quote: 1
Read: Download Dissertation

Abstract


The background of this paper is unmanned automatic identification system development. On the study of the image mosaic technology results, this paper summary the research work of the image pre-processing, image registration and image fusion. And primarily study the image registration technology.This paper comparative analysis the template-based image registration algorithm and the Harris corner feature-based image registration algorithm. But the two methods both have some limitation. For the above problem, using the classical SIFT algorithm extract the image feature points. In generating the feature vector description, using the normalized gradient algorithm improve the speed and accuracy of the feature matching algorithm. The use of RANSAC algorithm is better excluding the mistake matching points. Experiments prove that this algorithm is better than original in the feature matching time, the feature matching accuracy and the feature matching efficiency.In the analysis of the existing image mosaic and display methods, using the forward-mapping method obtain the re-sampled image. Then map the spliced images to the reference image, complete the image mosaic processing. Eliminate the image mosaic seams by using the gradually fade image fusion algorithm. Finally, process the entire sequence of images according to this method, obtain the panoramic image.According to the above description, this paper presents the analysis results. Experiments show that the algorithm in this paper has achieved more desirable results than previous in image registration and image fusion. It can be applied to the occasions of sequence image mosaic effectively.

Related Dissertations

  1. Research of Image Mosaic Technology,TP391.41
  2. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  3. Study on Image Registration and Image Matching of the Robot System for Substation Equipment Inspection,TP242.62
  4. Study on the Image Registeration Integrated with the LQ Model,R815
  5. Information Extraction of Marine Oil Spill with Collaborative Images of ASAR and MODIS,X87
  6. Research on Contourlet Transform and Its Application on Image Processing,TP391.41
  7. The Research of Application of Ridgelet Transform in the Fusion of Multispectral and Panchromatic Images,TP391.41
  8. Research and Implementation of Non-rigid Medical Image Registration Method Based on Improved Optical Flow Model,TP391.41
  9. Algorithm and Implementation Based on Non-rigid Medical Image Registration,TP391.41
  10. The Research of Phishing Detection Technology Based on Nearest Neighbor and Similarity Measurement,TP393.08
  11. GPU-based SIFT algorithm,TP391.41
  12. Real-time video display system key technology research,TP391.41
  13. Object Detection and Accurate Localization in Industrial Application,TP391.41
  14. Research for Super-resolution Reconstruction Technologies of Image Based on POCS Algorithm,TP391.41
  15. Medical image registration platform and combines new gray with geometric information Registration Measures,TP391.41
  16. Image / video automatic replacement of the face,TP391.41
  17. Infrared and visible image registration and fusion research,TP391.41
  18. Visible and infrared digital image fusion system design and implementation,TP391.41
  19. SURF algorithm based on improved electronic image stabilization technology,TP391.41
  20. Coaxial different field picture image registration algorithm,TP391.41
  21. Image feature extraction based image fusion research,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