object n. 1. 物,物体,物件。 2.目标 (of; for); 目的,宗旨。 3.【哲学】对象,客体,客观 (opp. subject); 【语法】宾语。 4.〔口语〕(可笑或可怜的)人[物]。 a small [strange] object 小[奇怪]东西。 the object of study 研究的对象。 the direct [indirect] object 直接[间接]受词。 What an object you have made (of) yourself! 〔口语〕你这家伙把自己搞得真不像样子! attain [achieve, gain, secure] one's object 达到目的。 fail [succeed] in one's object 没有达到[达到]目的。 for that object 为了那个目的。 no object 〔广告用语〕怎样都好,不成问题;没有困难(Distance is no object. (待聘者)上班距离(远、近)不成问题)。 propose an objectto oneself = set an object before one 立志,立下目标。 with that object in view 怀着那个目的。 vi. 1.反对,抗议,表示异议 (against, to)。 2.抱反感,不服气,有意见。 vt. 提出…作反对的理由 (that)。 If you don't object. 假使你不反对。 I object. 〔英下院〕我反对。 I object against him that he is a hypocrite. 我反对他,因为他是个伪君子。 object to 1. 反对(I object to your doing that. 我反对你做那件事)。 2.讨厌(I object very much to a wet weather. 我非常讨厌潮湿的天气)。 adj. -less 没有目的[宗旨]的,没有物像的。
object to 反对,不赞成; 反对;抗议,抱反感; 反对;抗议;不支持; 声称; 提出异议; 赞成……的人则认为
image n. 1.像,肖像,画像;偶像。 2.影像,图像。 3.相像的人(或物);翻版。 4.形像,典型。 5.形像化的描绘。 6.【语言学】形像化的比喻,象喻。 7.【心理学】概念,意象;心象。 graven image 雕像。 image frequency 图像频(率);镜频。 real image 【物理学】实像。 television image 电视像。 virtual image 【物理学】虚像。 God's image 人体。 He is the image of his father. 他活像他父亲。 the spitting image of 同…完全一样的人[物]。 speak in images 用比喻讲;说话形像化。 thinking in terms of images 形像思维。 vt. 1.作…的像,使…成像。 2.反映。 3.想像。 4.形像地描画;用比喻描写。 5.象征。 adj. -less 缺少形象的。
To segment multi - object image , n - region segmentation problem is equivalent to n - 1 two - region segmentation problems that are solved based on the developed simple m - s model . the experiments show that cytoplasm of immune cell is segmented out 实验结果表明,与小波- fcm模糊聚类纹理图像分割方法相比,该方法对双纹理图像能取得较好的分割效果,分割出的边界连续,并且具有较强的抗噪能力。
( 7 ) mathematical morphology is one of the new subjects studying the structural feature of digital image morphology and fast parallel processing technique . the structural analysis and feature extraction is made by morphological transformation in object image 7 、数学形态学是研究数字影像形态结构特征与快速并行处理方法的理论,是通过对目标影像的形态变换实现结构分析和特征提取的。
The machine vision technology obtains the object images by the image sensor , which is instead of the man ' s eyes . it transforms the images into the data matrixes and analyzes the images by computer , which can instead of the man ' s brain 机器视觉技术是利用代替人眼的图像传感器获取物体的图像,将图像转换成一个数据矩阵,并利用代替人脑的计算机来分析图像,同时完成与视觉有关的任务。
It uses omnivision ' s cmos digital color image sensor ov7620 sampling the object image , ti ' s tms320vc5409 dsp as main controller , icsi ' s high speed sdram ic42s16100 as data buffer , altera ' s flex10k series cpld designing sdram interface and time sequence logic 采用了omnivision公司的cmos数字彩色摄像芯片0v7620采样物体图像, titms320vc5409dsp作为主控制器, icsi的高速sdramic42s16100为数据缓存, alteraflex10k系列cpld来设计sdram接口和时序逻辑。
Based on the characteristic of image data , a quick index technology of large numbers of data is presented . it classifies and assembles the similar images by particular arithmetic , so reduce the range when searching , therefore you can find the object images quickly and exactly 由图像数据特点,提出一种大容量图像数据的快速索引技术,其基本思想是把相似的图像通过特定的算法聚合在一起,从而大大地缩小图像搜索的范围,达到快速、准确检索到目标图像的目的。
Last a method for multi - object image segmentation avoiding searching for threshold is proposed , that is simple , stability and has certain self - adaptive and robust . 3 , feature extraction : first introducing traditional feature extraction methods , then multi - channels feature extraction methods is proposed . one method is multichannels based on 3 、红外图像的特征提取:先介绍了传统的特征提取的方法,然后提出了一种多通道特征提取的方法,包括了基于小波的频率多通道和基于灰度的多通道的特征提取方法。
Based on perspective model , it was proposed that drawing camera inner parameters with physics method ; in image processing , especially the particularity of robot object localization and tracking , it was proposed that several effective methods of image smoothing and sharpening , edge detection , boundary tracking ; at the same time , in order to complete object recognition , we introduced the methods of drawing object character parameters ; in object image matching , two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration , we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points , and completed object movement parameters estimate and object tracking and prediction , and presented experimental result 以透视成像模型为基础,提出了用物理方法来提取摄像机内部参数;从图像处理角度出发,针对机器人目标定位与跟踪的特殊性,提出了几种行之有效的图像平滑、锐化、边缘提取以及边界跟踪的方法;同时,为了完成目标的识别,介绍了目标特征参数的提取方法;在目标图像匹配上,提出了两种快速有效的目标匹配算法;基于目标深度信息恢复原理,提出两种目标特征点三维坐标恢复的方法,同时完成了目标运动参数估计和目标的跟踪与预报,并最后给出了实验结果。
In recent years , the worldwide researchers pay much attention to fourier telescopy . it is an active imaging technique that encodes the information in the temporal instead of spatial domain , then receives the speckle and deposed of it to reconstruction the object image . now , the high - resolution technique is under the condition of deeply researched 它是一种主动式干涉成像技术,这一技术通过时域内的相位的调制完成直线条纹对目标的扫描,从而达到对深空目标频谱的抽样,然后接收其散射回波,对回波信号进行处理,进而还原出目标的像。
Firstly , the paper introduces the development and application of computer graphics & image technique , discusses the principle and method of cg and digital image processing , such as matrix of the graphic transformation , homogeneous reference frame , sampling and quantization of the image , file format of the image , template operation , etc . secondly the paper introduces the purpose and method of image enhancement processing , explains the each occasion of those methods such as threshold transformation , smoothing processing , sharpening processing , analyzes and contrasts the processing results of object image . thirdly , the paper introduces the method of mathematics morphologic , edge detection and thinning processing , attains character description of image and character dots of the contour . fourthly , the paper processes the coordinate transformation to character dots and basic splines fitting , imports correlative condition to devise meshing line and meshing track 本文首先介绍了计算机图形图像技术的发展与应用情况,对计算机图形学和数字图像处理的一些基本理论和方法如图形变换矩阵、齐次坐标系、图像采样和量化、图像文件格式、模板操作等内容进行了讨论:然后对图像增强处理的目的和方法进行了介绍,对诸如阀值变换、平滑处理、锐化处理等方法的应用场合进行了说明,并对实物图像的处理结果进行了分析与比较;接下来介绍了数学形态学方法、对增强后的图像进行边缘检测的方法和图像的特征描述方法,并获取轮廓的特征点:随后对获取的特征点进行坐标变换,并进行b样条曲线拟合,引入相关条件生成齿轮副的啮合线及啮合轨迹:最后引入等值线和区域填充表示方法,并以等值线和区域填充的形式对弧齿锥齿轮啮合仿真的载荷分布情况进行了直观的表示。
This dissertation presented some studies concentrated in five topics : image segmentation based on parametric active contour model ( snake model ) , image segmentation based on geometric active contour model , multi - object image segmentation , texture image segmentation , and application of developed curvature flow filter 本文主要研究基于参数活动轮廓模型( parametricactivecontourmodel - snakemodel )图像分割、基于几何活动轮廓模型图像分割、多目标图像分割、纹理图像分割和改进的曲率流滤波器的应用等五个方面的内容。