sequential images造句
例句與造句
- 3 sequential images matching and splicing technology is studied
3研究了長(zhǎng)序列動(dòng)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(shí)間穩(wěn)定性特征的背景估計(jì)技術(shù) - in this paper, we also present an object detection algorithm for sequential images
本文提出了一個(gè)序列圖像中運(yùn)動(dòng)目標(biāo)的檢測(cè)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(dòng)和位移。 - It's difficult to find sequential images in a sentence. 用sequential images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(yùn)動(dòng)目標(biāo)檢測(cè)的研究對(duì)象是視頻序列圖像，本文首先介紹了運(yùn)動(dòng)物體的視覺(jué)檢測(cè)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(yùn)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(cè)出運(yùn)動(dòng)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(xiàn)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(xiàn)醫(yī)學(xué)視頻圖像采集與處理系統(tǒng)工作原理和工作過(guò)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(diǎn)的對(duì)應(yīng)方法，在對(duì)圖像序列的處理過(guò)程中，若圖像的背景漂移較大，則應(yīng)進(jìn)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(chǎng)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(diǎn)的提取，特征點(diǎn)的匹配以及基本矩陣的估計(jì)。 - 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(duì)運(yùn)動(dòng)弱小目標(biāo)，提出基于小波分析和積累匹配的檢測(cè)方法，較好地解決了利用序列圖像的弱小目標(biāo)檢測(cè)問(wèn)題。實(shí)測(cè)數(shù)據(jù)實(shí)驗(yàn)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(duì)差值(mad)準(zhǔn)則，利用三步搜索算法，計(jì)算出相鄰兩幀視頻圖象中各子塊的運(yùn)動(dòng)矢量，該算法通過(guò)對(duì)運(yùn)動(dòng)矢量場(chǎng)中的運(yùn)動(dòng)矢量進(jìn)行統(tǒng)計(jì)、分類(lèi)，找到物體運(yùn)動(dòng)的主要方向，而主運(yùn)動(dòng)方向上的平均運(yùn)動(dòng)矢量就是物體運(yùn)動(dòng)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(gè)共同特點(diǎn)就是:不管圖像的具體內(nèi)容,采用固定的塊尺寸進(jìn)行統(tǒng)一的處理,例如jpeg,mpeg-1/2,h.263均采用固定的88分塊方式,本文的重點(diǎn)工作是針對(duì)這些采用固定的塊尺寸進(jìn)行統(tǒng)一處理的算法的一些缺點(diǎn),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(duì)應(yīng)塊的差別自動(dòng)調(diào)整dct變換尺寸(88或44),對(duì)不必要的數(shù)據(jù)塊不進(jìn)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88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(duì)兩者的壓縮編碼性能進(jìn)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(duì)試驗(yàn)所獲得的連續(xù)圖像通過(guò)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(duì)每一小區(qū)域內(nèi)的顆粒按速度方向不同進(jìn)行速度平均，獲得顆粒的平均速度分布曲線(xiàn)。 - 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(dòng)態(tài)圖像拼接原理，提出了動(dòng)態(tài)圖像亞拼接檢測(cè)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(diǎn)，通過(guò)特征向量的匹配，實(shí)現(xiàn)冗余圖像信息的去除，達(dá)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(shí)現(xiàn)準(zhǔn)確圖像亞拼接；研究了重疊區(qū)域?qū)挾葘?duì)拼接精度的影響，給出了重替區(qū)域?qū)挾仍O(shè)置方式。
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