The Airthmetic Research Of The Selection Recognition And Tracking For Medium Infrared Image |
Posted on:2003-01-28 | Degree:Master | Type:Thesis |
Country:China | Candidate:M Jiang | Full Text:PDF |
GTID:2168360062950304 | Subject:Communication and Information System |
Abstract/Summary: | PDF Full Text Request |
The technique of infrared Controlling and Guiding plays an important role in the future war. So it becomes more and more popular in recent research works. This article mainly deals with the selection recognition and tracking of the focus of infrared image.We begin with the actual infrared photos which were taken before. Firstly we aim at getting the center point of the plane in first three photos and this is to supply the origin data for later kaveman filter arithmetic. Its main steps are: 1 median filter to filter yawp; 2 edge detecting; 3 figure thinning; 4 the calculation of center point and some other parameters, We put forward a new method with which we firstly give a self-adjust liner transform then we use robert edge detecting and we also give an four-adjacent-field method for edge thinning here; Secondly we repeat four steps above and use the center point as focus in the fourth image. After this we track the forecasting center point by kaveman filter and select two blocks for locating. Lastly from the fifth photo on we mainly deal with the arithmetic for matching locating and recognition of focus except kaveman filter. In this paper we set up a math model with the knowledge of the theory of probability and give an academic analysis for error.The system is able to track the focus of the plane steady and exactly by large actual photo experiences.
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Keywords/Search Tags: | median filter, kaveman filter, edge detecting, figure thinning, tracking, recognition |
PDF Full Text Request |
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