外文翻譯--基于批處理灰度圖像的拼接方法com組件技術(shù)(存儲(chǔ)版)
【正文】 it can meet the realtime demand of the batch gray image mosaic software system.Keywords: image mosaic。 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 applicable.. Software designation for the fast image registrationThe image registration algorithm in Sec. contains three main steps: Firstly, extract Harris corner point matrix for the two images to be spliced。實(shí)驗(yàn)完全證實(shí)了所提出方法的執(zhí)行效率，表明它能滿足批量的灰度圖像拼接軟件系統(tǒng)實(shí)時(shí)性的要求。還不僅如此，這些算法不能擴(kuò)展到現(xiàn)實(shí)中。1. 圖像之間的重疊部分的比例帶。三個(gè)步驟的計(jì)算過程是對(duì)應(yīng)于上述三個(gè)條件的。圖1(b)顯示，步驟一和步驟二的計(jì)算時(shí)間可重疊，以及從無重疊區(qū)域中搜尋角點(diǎn)可以避免條件1的限制，可提高特征點(diǎn)搜索算法的效率和初始匹配精度。這些樣本是由一個(gè)自動(dòng)的道路檢測(cè)車拍攝的，它的運(yùn)行速度是70km/h。該方法通過模糊的視覺約束條件，在一定程度上增加了拼接系統(tǒng)的穩(wěn)定性，同時(shí)對(duì)該算法進(jìn)行了優(yōu)化，提高了算法的執(zhí)行效率?；诙嗑€程技術(shù)的圖像拼接算法的執(zhí)行效率將隨著CPU技術(shù)的升級(jí)而繼續(xù)改進(jìn)?；诩s束條件3，用戶可以通過模糊的視覺感受設(shè)置圖像的失真寬容度值，這可以顯著提高系統(tǒng)的魯棒性?；疑慕屈c(diǎn)的相似性與優(yōu)化選擇算法的支持度的求和計(jì)算可以并行執(zhí)行。這類圖像序列，以上三個(gè)條件通常是適用的。我們重復(fù)這個(gè)過程，知道所選定的角點(diǎn)都滿足上述條件。由于圖像拼接的主要困難是圖像配準(zhǔn)，因此在過去的幾十年，研究者特別重視圖像配準(zhǔn)技術(shù)，并取得了顯著的研究成果。該算法的矩陣運(yùn)算的實(shí)現(xiàn)是基于Matlab 7 當(dāng)中的COM組件技術(shù)工具箱。 amp。 image regis
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