Dissertation > Excellent graduate degree dissertation topics show

UAV Infrared and Visible Image Fusion Algorithm Research

Author: WangYinBin
Tutor: ShiXiangBin
School: Liaoning University
Course: Applied Computer Technology
Keywords: image registration image fusion GMI UDPSO NSCT ICA
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 161
Quote: 0
Read: Download Dissertation

Abstract


UAV plays an important role in military and civilian fields. With carryingdifferent imaging sensors, UAV does not only adapt to the change of environmentalconditions, but also obtain more plentiful spatial information. Because of differentimaging principle, the acquired multi-sensor images have different characteristics,and can’t get the full scene information. UAV multi-sensor image fusion uses differentimages about the same scene, which obtained by many different imaging sensors, andintegrates various complementary information to get fused image with morecomprehensive, more intuitive, more reliable information，and lays the foundation forfurther target identification and tracking.Before image fusion of two or more multi-sensor images based on the samescene, UAV imaging sensors are restricted by imaging time, shooting angle and so on,so the acquired images may not reach alignment in spatial position, thus imageregistration is carried out before multi-sensor image fusion.The paper mainly makes research on image registration and fusion of infraredimage and visible image, and combines complementary information to obtain perfectfused image. The main contributions are summarized as follows:1) According to the characteristics of the UAV infrared and visible images on thechange of spatial location, the paper analyses image registration algorithm basedon mutual information theory, and proposes new registration method based ongradient mutual information and uniform designed PSO. The method usesuniform design to improve the space distribution of initial particles, so that theinitial particles can distribute uniformly in the search space, and reduce thepossibility of trapping local optimum value, and improve the registrationprecision and speed, and can obtain better image registration parameters.2) For the image fusion of UAV infrared image and visible image, a new algorithmcombined Nonsubsample Contourlet transform (NSCT) and IndependentComponent Analysis (ICA) has been proposed. The algorithm carries out independent component transformation on the high-frequency subbandcoefficient, which achieved by NSCT, so as to eliminate the correlation betweeneach subband coefficient. While an adaptive weighted fusion rule is designedfor the transformed independent component coefficients, the experimental resultdenotes that the fused image retains the structural features of the infrared image,and contains rich detail information of visible image. Through the analysis ofsubjective and objective evaluation standard, the fused image has the expectedeffect.

Related Dissertations

  1. Research on Magnetic Field Sensor Based on GMI Effect and Geomagnetic Matching Algorithm,P318
  2. Research of Image Mosaic Technology,TP391.41
  3. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  4. Study on Image Registration and Image Matching of the Robot System for Substation Equipment Inspection,TP242.62
  5. Study on the Image Registeration Integrated with the LQ Model,R815
  6. Information Extraction of Marine Oil Spill with Collaborative Images of ASAR and MODIS,X87
  7. The Research of Medical Image Fusion Algorithm Based on Level Set Regions Segmentation,TP391.41
  8. The Research of Medical Ultrasound Image Denosing Algorithms Based on Multiscale Geometric Analysis,TP391.41
  9. Research on Contourlet Transform and Its Application on Image Processing,TP391.41
  10. The Research of Application of Ridgelet Transform in the Fusion of Multispectral and Panchromatic Images,TP391.41
  11. Multi-source image fusion technology research,TP391.41
  12. Design and Implementation of Medical Image Fusion Algorithm Based on PET/CT,TP391.41
  13. Studies of Technologies and Methods on Image Mosaic,TP391.41
  14. Multivariate Process Monitoring and Fault Diagnosis Based on Distribution Characteristics of the Data,TP274
  15. Research of Information Fusion and Enhancement of Multi-Source Image,TP391.41
  16. Neural Mechanisms of Motor Function with Structural Equation Modeling in Stroke Study,R318.0
  17. Image Segmentation and Registration for Bone Scintigraphy Images,TP391.41
  18. Multi-source Image Registration System and Hardware Realization,TP391.41
  19. Research on ECG Feature Extraction and Classification Method,TN911.7
  20. Research on Feature Extraction Methods in Color Face Images,TP391.41
  21. GPU-based SIFT algorithm,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