image n. 1.像,肖像,畫像;偶像。 2.影像,圖像。 3.相像的人(或物);翻版。 4.形像,典型。 5.形像化的描繪。 6.【語言學(xué)】形像化的比喻,象喻。 7.【心理學(xué)】概念,意象;心象。 graven image 雕像。 image frequency 圖像頻(率);鏡頻。 real image 【物理學(xué)】實(shí)像。 television image 電視像。 virtual image 【物理學(xué)】虛像。 God's image 人體。 He is the image of his father. 他活像他父親。 the spitting image of 同…完全一樣的人[物]。 speak in images 用比喻講;說話形像化。 thinking in terms of images 形像思維。 vt. 1.作…的像,使…成像。 2.反映。 3.想像。 4.形像地描畫;用比喻描寫。 5.象征。 adj. -less 缺少形象的。
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。
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澹C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(diǎn)的對(duì)應(yīng)方法,在對(duì)圖像序列的處理過程中,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)。