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image distance相关的网络例句

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By using machine vision and digital image processing technology to fabric defect detection , this paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic.

本文将机器视觉与数字图像处理技术引入到织物疵点检测中,提出了一种织物疵点检测算法——图像距离差算法。

By applying machine vision and digital image processing technology to fabric defect detection ,this paper puts forward a new method of detection of fabric defect,namely image distance difference arithmetic,which includes image collection,image precess and defect detection.

将机器视觉与数字图像处理技术引入到织物疵点检测中,提出了一种织物疵点检测算法———图像距离差算法,即图像采集、图像处理、疵点识别等。

This paper gives out the definition of Biometric Image Quality and image distance function and so on.

本文首先给出了生物特征图像质量等的一系列定义,并通过这些定义将生物特征识别进行简化。

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上,取得了如下主要研究成果:①构造了一个通用的人脸轮廓模型表示,解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题,并给出了模型内、外能函数的定义,同时给出了模型的全局与局部匹配算法,实验表明,使用这种表示形式以及匹配算法,能够较好地提取人脸图象的轮廓,可实际用于人脸图象的分割;②深入分析了PCA方法的识别机制,得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论,同时指出这也是造成PCA方法通用性较差的本质原因,并给出了不同人脸空间距离的一种度量方法,使用该度量方法能够直观地对人脸图象空间进行分析;③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度,实验结果表明,探测精确度很高,从而有利于人脸图象特征提取,以及图象的有效表示;④构造了人脸图象的各局部特征模板,用于人脸图象局部特征的探测;同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法,实验结果表明,使用这种方法能够精确地得到人脸图象各局部特征的位置;⑤提出了一种新的人脸图象表示法---双属性图表示法;利用属性图来表示人脸图象,并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性,这种表示方法充分利用了人脸图象的局部特征的统计特性,并且使用Gabor变换来反映人脸图象的拓扑结构,从而使得双属性图表示法具有较强的通用性;⑥在双属性图表示的基础上,给出双属性图匹配函数及匹配算法,在函数及算法设计过程中,考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响,使得匹配算法具有较强的通用性;⑦设计并实现了一个通用的人脸图象识别系统,实验结果表明,该系统在图象光照、尺度、旋转姿势情况下,得到了较好的识别效果。

The merit of the invention are: 1 adopting free curved surface imaging method , three part reflection type Zernike polynomial free curved surface forms short focal distance bigger, relative apertures bigger fields of view angle imaging , rectifying optical aberration much better and its structure is simple; 2 adopting the reflection structure without optical lens, has removed the effect of various chromatic aberration , guarantee the imaging articulation; 3 adopt the design of short focal distance big fields of view angle, focal distance 8 - 15 mm, field of view angles 100 -135 degree, having 120 times multiplications under 250 mm imaging distance, having ultra-thin characteristic property; 4 adopting big relative apertures design ,the relative aperture is 2.0-2.4, having improved the illuminance of flat surface; 5 adopting image space telecentric imaging method , ensures that the image surface irradiance is homogeneous.

本发明的优点是:1采用自由曲面成像方法,三片反射式Zernike多项式自由曲面形成短焦距大相对孔径大视场角成像,更好地校正像差,结构简单;2采用无透镜形式的反射式结构,消除了各种色差影响,保证成像清晰度;3采用短焦距大视场角设计,焦距8~15mm,具有100~135度的视场角,在250mm成像距离下有120倍的放大倍数,具有超薄特性;4采用大相对孔径设计,相对孔径为2.0~2.4,提高像平面上的光照度;5采用像方远心成像方法,保证像面辐照度均匀。

That is, the objective distance can be changed freely while keeping the image distance constant and vice versa.

并给出了多层光子晶体平板的成像结果,实现了正方形三角形混合晶格光子晶体平板近远场成像。

In the studying of image segmentation, six crucial technologies havebeen developed successfully. 1 In one dimension histogram of original DRimage of luggage, there remain maximum-value wave crest havingapproximately stationary position, and the first minimum to the left of thewave crest performs excellently to be used to get rid of background of DRimage. 2 Open operation, one type of math morphology, is the right idea toerase luggage disturbance in DR image and at the same time, can be retaininteresting region appropriately. 3 After open operation, there are only a few minimums on image histogram, one of which can be to segment image furtherand achieves satisfying result. 4 Method of histogram analyzing and that oferosion performs well in the re-segmentation of conglutinative region in DRimage. 5 Method of image distance switch can ensure Luggage CT sectionautomatically obtained to have rich suspicious region information. 6 Todecompose structure element of math morphology is a way to save a great dealrunning time for automatically discerning interesting regions algorithm,apparently improving implementation efficiency.

在对图像可疑区域分割研究中,主要开发成功以下几项关键技术:1发现原始箱包DR图像的一维直方图中,均具有位置相对稳定的最大值波峰,以波峰左边第一个极小值为分割阈值,去除DR图像背景,效果非常好。2运用数学形态学中的开运算能够非常有效地去除箱子的干扰,同时能够比较好地保留可疑区域。3发现开运算后的DR图像直方图只有若干个极小值点的特点,其中用最大值波峰左边的第二个极小值点进一步分割DR图像,能够更有效地提取箱包中的可疑区域。4运用直方图分析法和腐蚀法,对粘连区域实行再分割,效果较好。5运用距离变换法,能确保自动设定的箱包CT截面包含丰富的可疑区域信息。6运用形态学结构元素分解技术,大幅度减少可疑区域的自动判别算法运行时间,提高算法软件执行效率。

Essentially Parfocal, and with nearly constant magnification regardless of image distance behind top surface (except 5x model which increases 1x for every 35mm of image distance increase).

基本上parfocal ,并与将近不断放大,无论形象背后的距离顶面(除5倍模式,即增加1x的每35毫米的形象距离增加)。

The optical system of line constructive laser confocal scanning microscope is designed. The optical design software OSLO is used to design special infinite image distance half flat field objective as well as laser extender and collimating lens.

设计了线结构光共焦扫描显微成像光学系统,使用光学设计软件OSLO设计了专用的无限远像距半平场显微物镜和激光扩束准直镜。

The image segmentation method we use for leucocytes is based on image distance transformation, combining the region and edge approach, taking full advantage of image information.

我们所用的图像分割方法是在对图像距离变换的基础上,综合区域和边界方法,充分利用图像中包含的信息,实现白细胞图像的分割。

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