sequential image造句
例句與造句
- 3 sequential images matching and splicing technology is studied
3研究了長序列動態(tài)圖像匹配與拼接技術(shù)。 - Background estimation technique based on sequential image time stability
基于序列圖像時間穩(wěn)定性特征的背景估計技術(shù) - In this paper , we also present an object detection algorithm for sequential images
本文提出了一個序列圖像中運動目標(biāo)的檢測算法。 - This system is composed of three modules , which are sequential image acquisition , data transport and image processing
系統(tǒng)包括三大模塊：視頻圖，像采集部分、圖像數(shù)據(jù)傳輸部分和圖像后處理部分。 - Because the object is far from the camera , and also the outdoor environment has much interference , the background of gathered sequential images is often offset
由于要監(jiān)視的目標(biāo)區(qū)域離攝像頭比較遠(yuǎn)，并且野外環(huán)境的干擾比較大，采集的序列圖像有一定的抖動和位移。 - It's difficult to find sequential image in a sentence. 用sequential image造句挺難的
- The research interest of moving object detection is image sequence . first , this paper introduces the vision principle of moving object detection and the common methods on sequential images analyzing
運動目標(biāo)檢測的研究對象是視頻序列圖像，本文首先介紹了運動物體的視覺檢測原理以及序列圖像分析的一般方法。 - In chapter five , gained proper matching template taking advantage of edge image and mapped two sequential images basing on image transform and template matching and found moving objects
第五章利用前一章運算得到的邊緣圖像，選取出適當(dāng)?shù)钠ヅ淠０?，綜合利用中文荷要坐標(biāo)空間變換和模板匹配法配準(zhǔn)圖像，檢測出運動目標(biāo)。 - This paper starts with the running principle and procedure of x - ray sequential image acquisition processing system . the emphasis of this paper is put on key problems of pci device driver based on windows os
本文從x射線醫(yī)學(xué)成像的背景、原理和現(xiàn)狀入手，詳細(xì)描述了x射線醫(yī)學(xué)視頻圖像采集與處理系統(tǒng)工作原理和工作過程。 - Therefore , we propose a correspondence approach for feature points in sequential images . in the process of dealing with image sequences , we will revise the match if the offset of image background is big
因此本文研究了序列圖像之間特征點的對應(yīng)方法，在對圖像序列的處理過程中，若圖像的背景漂移較大，則應(yīng)進行校正配準(zhǔn)。 - To recover scene structure from motion , firstly the relation between sequential images must be set up through three steps as feature point extraction , corresponding matching and estimation of fundamental matrices
要恢復(fù)場景三維形狀，首先必須建立序列圖像之間的聯(lián)系。其中包括特征點的提取，特征點的匹配以及基本矩陣的估計。 - Finally , the method of infrared weak and small targets detection based on wavelet and integration match is described , which makes use of the moving targets " characteristic and is effective in the infrared sequential images detection
最后，針對運動弱小目標(biāo)，提出基于小波分析和積累匹配的檢測方法，較好地解決了利用序列圖像的弱小目標(biāo)檢測問題。實測數(shù)據(jù)實驗結(jié)果表明本文方法是有效的。 - According to minimum mean absolute difference criteria ( mad ) , our paper uses three - step search algorithm to get the block vectors in two sequential images . main direction of object motion could be obtained by classifying and the average vector on main direction is the vector of whole object . this thesis starts with an introduction of the motion analysis
根據(jù)最小平均絕對差值( mad )準(zhǔn)則，利用三步搜索算法，計算出相鄰兩幀視頻圖象中各子塊的運動矢量，該算法通過對運動矢量場中的運動矢量進行統(tǒng)計、分類，找到物體運動的主要方向，而主運動方向上的平均運動矢量就是物體運動的整體矢量。 - One of the common characters between traditional algorithms based on dct image coding is that regardless of the content of the image , they use a fixed size block to process , for example , jpeg , mpeg - 1 / 2 , h . 263 use constant 8 * 8 block mode . the main work of this article is to propose a sequence images compression algorithm that is based on adaptive block dividing and object to the disadvantages of the one based on fixed - size block dividing . the proposed algorithm is an image compression method , which can auto - adjust dct block size ( 8 * 8 or 4 * 4 ) according to the difference of corresponding blocks between two frames of the sequential image and doesn ’ t process any unnecessary data blocks in order to enhance coding efficiency
傳統(tǒng)的基于dct的圖像編碼算法的一個共同特點就是:不管圖像的具體內(nèi)容,采用固定的塊尺寸進行統(tǒng)一的處理,例如jpeg , mpeg - 1 / 2 , h . 263均采用固定的8 8分塊方式,本文的重點工作是針對這些采用固定的塊尺寸進行統(tǒng)一處理的算法的一些缺點,提出了一種基于自適應(yīng)分塊的序列圖像壓縮算法,該算法是一種根據(jù)序列圖像兩幀間對應(yīng)塊的差別自動調(diào)整dct變換尺寸( 8 8或4 4 ) ,對不必要的數(shù)據(jù)塊不進行處理,以提高編碼效率的序列圖像壓縮編碼方法,具有較高的編碼效率和較好的壓縮效果,與傳統(tǒng)的采用8 8固定分塊方式的壓縮編碼算法相比,性能有較大幅度的提高,在文中,作者對兩者的壓縮編碼性能進行了分析比較。 - In this thesis , the basic arithmetic of piv software - cross - correlation arithmetic is introduced in detail , during the data process , through processing the two sequential images by the cross - correlation arithmetic , the vector charts of particles velocity can be obtained , so is the chart of absolute velocity , with velocity decomposed into the radial velocity and axial velocity
本文對試驗所獲得的連續(xù)圖像通過互相關(guān)算法，獲得顆粒速度矢量圖，并將速度分解為徑向速度和軸向速度，對每一小區(qū)域內(nèi)的顆粒按速度方向不同進行速度平均，獲得顆粒的平均速度分布曲線。 - A new sequential images sub - splicing method is proposed , which based on features of markers and aimed at looking for the same markers in overlapped area of two adjacent images to finish the splicing task . no real image coalescence is done , but the redundant information is diminished , so the two adjacent images are considered well spliced . big marks are interlaced with small ones to realize accurate image sub - splicing in real situation
闡述了種子動態(tài)圖像拼接原理，提出了動態(tài)圖像亞拼接檢測方法，該方法基于標(biāo)記特征，以搜尋相鄰兩幀圖像中重疊區(qū)域內(nèi)相同標(biāo)記為目標(biāo)，利用相同標(biāo)記在前后兩幀圖像中應(yīng)具有相同特征向量的特點，通過特征向量的匹配，實現(xiàn)冗余圖像信息的去除，達到相鄰兩幀圖像的拼；提出了大小間隔的標(biāo)記方案，以適應(yīng)采集工況，實現(xiàn)準(zhǔn)確圖像亞拼接；研究了重疊區(qū)域?qū)挾葘ζ唇泳鹊挠绊懀o出了重替區(qū)域?qū)挾仍O(shè)置方式。
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