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The ballistics terminal target gesture recognition technology

Author: DingXue
Tutor: ZhuangZhiHong
School: Nanjing University of Technology and Engineering
Course: Communication and Information System
Keywords: Ballistic terminal Gesture recognition Image pre-processing Feature Extraction Neural Networks
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 125
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Abstract


Identify aircraft spatial attitude based on more accurate estimate , according to the local image tracking process measurement information seeker the targeting parameters conducive to target vulnerable parts precision strike . Guided fuze integration as the background , using infrared imaging seeker image information , expand research on the the aircraft targets gesture recognition technology . Seeker infrared image feature based on the analysis of high-speed intersection , application filtering noise reduction , image sequence segmentation, interference plaque eliminate target infrared image preprocessing algorithm simulation and more results showed that compression and image plane sampling improved Otsu algorithm can effectively reduce the amount of arithmetic operation of the grayscale range . Target type identification using BP network . Establish the goal of the training set and test set image library , extract the target sample Hu invariant moments order affine invariant the moment feature combinations as BP neural network input vector and target the type of training the BP network to identify aircraft and obtain the actual aircraft axis length parameter . The Skeleton Extraction application improved Hilditch thinning method completed , then the machine axis where a straight line with improved Hough transform detection skeleton image , using the image plane nose , tail position and seeker measurement information to determine head , tail the coordinates in the coordinate system of the relative velocity of the head associated parameters. Missile and Target Engagement process in the nose, tail and seeker focal plane of the center is able to identify more than one plane , in the line of intersection of the air shaft is the aircraft by determining the spatial orientation of the aircraft axis vector , complete aircraft spatial attitude identification. Target type identification for the actual shaft length parameters according to the attitude of the aircraft space missile and target relative velocity vector delay correction . Text extraction, image pre-processing , identification of the target type , target skeleton the machine axis detection algorithm design and verify the correctness of the algorithm , the image pre-processing and machine axis detection the C Builder5 platform interface design . Finally, the image segmentation threshold selection gesture recognition error and different intersection aircraft space and delay correction .

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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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