外文翻譯--基于批處理灰度圖像的拼接方法com組件技術(shù)-文庫(kù)吧
2025-01-03 14:37 本頁(yè)面
【正文】 tion algorithm based on vector rotating relax has been proven to be a precise and robust image matching algorithm (Wang, Hou, Cong, and Sun, 2010). However, in order to pursue the above two characteristics, this kind algorithm also involve many matrix operations, and the execution efficiency is not high. To overe this bottleneck, in this paper, we proposed a method that uses multithread technology to optimize the image registration matrix, and to execute concurrently, which can meet the realtime demanding of the image registration system.2. Related Theories. Relax matching algorithm based on the vector rotatingWang, Hou, Cong, and Sun (2010) proposed the relax matching algorithm based on the vector rotating, and the main idea is as follows: First, evaluate the two pairs of initial matching corner points extracted from two images。 Second, involve another pair of corner points, and if the vector rotation angles of the this pair corners and that of the initial pairs of corners are very similar, support degree of this pair corner points and the two initial pairs of corner points is high. If the sum the support degree of pairs of corner points, which are constituted by one corner point with all other points, this corner point is wrong, and we can delete it. We repeat this process until all selected corner points meet the above conditions.. Fuzzy human visual restriction conditionsWe can extract three main visual restriction conditions for the images to be spliced, from the vector rotating relax matching algorithm.1. Proportional band of the overlap parts between images2. The similarity of the grey level or the threshold between the images.3. Subjective visual image distortion degree of the images.Because of the differences between the images in the real world, the above three conditions in the real image process project cannot be consistent exactly, although we can get approximate values based on analysis of plenty of image data. However, this strategy will reduce the execution efficiency of the system, which is not suitable for the real world applications. On this other hand, in many industrial conditions, there is some certain pattern for the image sequences selected. For this kind of image sequences, the above three condition are usually appl
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