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The Research On Fisheye Head Image Stitching Method Based On DSP

Posted on:2015-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2298330467458210Subject:Detection Technology and Automation
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Image montage technology is to do the spatial matching alignment of a group partoverlapping image sequences, and after resampling fusion, it can form a new image whichinclude the group of image sequence information, the wide view scene, and the complete highquality. It has been widely used in video surveillance, remote sensing data etc.With the increasing integration, computing speed, data throughput and other performance of DSP chips,it’s applications are no longer limited to the traditional audio and video processing and off-line signal processing, etc. it has been widely used in many real-time video processing and transmission fields.Since the DSP is easy to meet large, real-time, high data transfer rate image processing operationand combined with the powerful computers in interacting withmultimedia,it has been widely used in image processing area.Firstly, the image stitching algorithm is studied for image acquisition, imagepre-processing, image registration, image fusion of three parts are described in detail throughthe study of image mosaic method under different methods to select an image based invariantsas a key research stitching algorithm, which uses the city distance similarity measure,according to the observed distribution of feature points is proposed homographynormalization method using RANSAC with SPRT algorithm to reduce the mismatch, verifiedby probabilistic model, eliminate errors using bundle adjustment method transfer betweenadjacent sheets to achieve precise image registration, on the basis of the static mosaic pavingthe way for the subsequent dynamic image stitching, followed by the DSP algorithms portedto embedded systems, in order to achieve dynamic mosaic image under fish-eye...
Keywords/Search Tags:Fish-eye, embedded system, image stitching, RANSAC algorithm, DSP platform
PDF Full Text Request
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