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Research on Cartridge Case Image Registration and Fusion

Author: LuoMan
Tutor: KongJun
School: Northeast Normal University
Course: Applied Computer Technology
Keywords: Image registration Remove the error feature matching Integration mechanism Adaptive Rules
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 34
Quote: 1
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Abstract


In recent years , with the help of image processing and pattern recognition theory cartridge cases ( referred to as shells ) trace analysis technology rapid development , has played an important role in the science of evidence . Due to the limitations of the optical system and the depth of the firing pin marks , shooting a bullet image difficult to take into account : firing pin marks where the local position to get rich and crisp detail , while at the same time reflect the overall structure of the underside of the cartridge case . Therefore , we shot the two images , the resulting image can be formed by the image registration and fusion method two images complementary information , professional analysis and subsequent computer processing more convenient . This paper first introduces the concept of image registration and fusion of the mainstream methods , analysis of the research status . The studies focus on the text in the image registration stage , to explore the two shell casings image registration method . Method One: image registration method based on the integration mechanisms and adaptive rules shells , belonging to the feature-based approach . Because the the optional cartridge case image has a similar texture , the shell of the original feature-based image registration method contains the error characteristics match and traditional removal mismatch ineffective . Therefore, based on cartridge case image features , use three to remove the error matching method : transform the match , adaptive K-means clustering the angular constraints or scale constraints . To be able to complementary advantages of the three methods , the use of a voting mechanism to integrate these methods , while taking advantage of the combination of genetic algorithm parameters adaptively choose to participate in integration . Due to each image varies , optimize the registration results . Method Two: image registration method based on Fourier-Mellin transform cartridge cases , belong to the region-based approach . - Polar coordinates and Fourier transform theory, to find the optimal registration in accordance with the value of the phase position . After the end of the two registration methods , refining the registration results . Ultimately, the use of pixel-level fusion method to get a smooth visual effects . Experimental shell casings set of images to verify the integration mechanisms and adaptive rules can effectively remove the error feature matching , and the performance of the two registration methods were analyzed . In addition, the resulting image fusion compared to their former image , a greater amount of information to facilitate follow-up bullet casings trace analysis .

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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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