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The shimmer and infrared image registration techniques

Author: ZuoYingYing
Tutor: ZhangYi
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: Image registration Infrared image LLL image Feature point extraction Feature point matching Mutual Information
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 278
Quote: 2
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Abstract


Image registration is an important topic in the field of image processing in remote sensing image processing , computer vision , motion estimation , have a wide range of applications in the field of medical image analysis , military night vision , image data fusion layer fusion technology the primary problem . Relative translation, rotation, scaling and even distortion relationship between image data obtained by the different sensors, different imaging modes , or at different times of the same object exists . Comprehensive analysis and use of the image of these relationships , we must first solve the problem of registration between images . The paper conducted a preliminary study of the dim light and infrared imaging principle , the characteristics of the image , the image registration principle and method . Focus on three typical registration algorithm analysis : based on the gray area , based on features and transform domain - based image processing methods . Image features and gray combination of dual spectral registration method is proposed and designed to achieve registration accuracy with the scope to improve the algorithm based on both its own characteristics . This paper analyzes the Moravaec Harris and improved Forstner feature point extraction algorithm , and finally determine the best feature point extraction method Forstner algorithm improved registration ; analysis of the two-way iterative matching algorithm , two-way maximum correlation coefficient matching algorithm for improving the position matching algorithm similar triangles , to determine improved position similar triangles matching algorithm to search for maximum mutual information simple search algorithm , simulated annealing algorithm and ant algorithm , based on the image for the the registration best match method ; initial registration , use the simple search algorithm to search maximization of mutual information image transformation parameters . Finally, MATLAB simulation , and to evaluate the results of the registration using mutual information values ??. The innovation of this paper is that : First, the image features and gray combination of dual - spectral image registration ; similar triangles algorithm based on improved position further improved .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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