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image compression相关的网络例句

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However, the CMOS image sensors can provide stronger anti-radiation capacity than CCD as well as Single Chip Integrating with image sensors array, drive and control circuit, signal processing circuit, A/D conversion circuit and Completely Digital Interface Circuit. The CMOS image sensors also possess high quantum efficiency, wide spectral response, good response uniformity, low supply voltage and low request of clock. At the same time, the small bulk, high reliability, low power consumption and low cost are the prominent advantages of the CMOS image sensors too, thus CMOS image sensor has more exploiture foreground in X-ray real-time radioscopy imaging system.

由于CMOS 图像传感器比CCD 具有更强的抗辐射能力,还具有将图像传感器阵列、驱动和控制电路、信号处理电路、模数转换电路、全数字接口电路等实现单片集成以及量子效率高、光谱响应宽、响应均匀性好、工作电压低、对时钟脉冲要求低、体积小、重量轻、功耗低、高可靠、低成本等优点,因此在X 射线实时检测中更具有开发前景。

Experiments show that rhomb partitioning is more powerful in suppressing block artifacts than square partitioning, results in much higher reconstructed image quality, but takes longer encoding time; 2 For solving exhausting encoding problem of fractal image coding, we present a fast rhomb-partitioning fractal image coding based on neighbor-searching; we present a fast rhomb-partitioning fractal image coding based on block classification; we present a fast square-partitioning fractal image coding based on neighbor-searching, block classification and wavelet transform.

2针对分形图象压缩编码过程非常耗时的致命弱点,提出了基于邻域搜索的菱形块分割的快速分形图象压缩编码方法,提出了基于块分类的菱形块分割的快速分形图象压缩编码方法,提出了基于邻域搜索·块分类和小波变换的方块分割的快速分形图象压缩编码方法,实验结果表明,我们提出的快速分形图象压缩编码与传统的分形图象压缩编码相比,编码速度提高了近40倍。

In the process ofnavigation of INS/Scene Matching the aerocraft will save the land information of undersurface offly orbit in the memorizer which has been scouted in advance. While the aerocraft fly thescheduled position the sensor schlep will take the real time image like as RAR image. After thenthe real time image will match the reference image which has been stored beforehand and hasgeographic relation with real time image. Thus the position or horizontal and longitudinal distanceerror of the aerocraft can been fixed on. After that the navigation and control and guidance iscomplete.

在INS/景象匹配组合导航系统的导航过程中,飞行器首先将预定飞行轨道下面事先侦察到的一系列地面图像信息存到飞行器的存储器中,然后,当携带相应传感器的飞行器飞行到预定的位置时,便获取实时图,然后将实时图和预存的已知地理信息关系的基准图进行匹配比较,这样就可以确定出飞行器的当前位置或者偏离预定位置的纵向和横向偏差,从而完成导航和制导功能。

It can automatically differentiate and pick-up available information of the original image, such as area and perimeter, by image processing and segmentation; may semiautomatically measure the location of a spot on the image, the length of lines, area size; may automatically detect distances between edges by edge detection; at the same time have common functions of minitype image processing software, such as addition or subtract of images, morphological processing and image segmentation.

通过图像处理与分割,自动判别、提取原图像中感兴趣目标的信息,例如面积、周长等;通过对图像的形态处理,可以半自动的测量图像中点的位置、线段长度、面积大小,并做出标记;通过边缘检测,可以自动检测出边缘之间的距离等;同时具有小型图像处理软件通用的功能,如图像相加、减,形态处理,图像分割等。

The digital speciemen image of adult Helicoverpa armigera Hubner was acquired using a digital camera in an image acquisition environment.Several methods of image enhancement were covered, including linear smoothing, median filtering, linear greylevel transformation, contrast stretching, image inversing and histogram equalization. Results demonstrated that these methods evidently enhanced the speciemen image of H.

digital image ;本研究以棉铃虫成虫标本作为数字图像源,设计了图像获取环境,以数码相机做为数字图像获取设备获得了棉铃虫成虫的数字图像,介绍了昆虫数字图像增强的方法,包括图像的线性平滑、中值滤波平滑、线性灰度变换、对比度拉伸、图像求反以及直方图均衡化等增强方法,证明这些方法对棉铃虫图像具有明显的增强作用。

The basic theories of mathematical morphology for binary image are stated, and the most simple structure elements of morphologic transformation for binary images are proposed and proved. The geodetic morphologic transformation models are also developed. For the purpose of improving the speed of transformation in computer, the"set symmetric difference"is introduced to adapt each model. Some new morphologic filtering models and quantitative evaluating model of filtering effects in image processing are proposed, under the applied condition. The morphologic thinning methods are studied, and two new morphologic thinning models are developed. On the basis of analyzing the characteristics of mining maps, the image vectorizing tactics and a series of algorithms are proposed, including dynamic adaptive image thresholding using two thresholds, graphic and text separation, noise removal, and multi elements extracting models with mathematical morphology. Accuracy preserving compressed vectorizing model for image vectorization is put forward to generate vector data in multi layer.

论文对二值图象形态学的基础理论进行了较系统的阐述,提出并证明了二值图象处理中形态变换的最简单结构元素,并发展了测地形态变换模型;为了提高形态变换的计算机实现速度,引入了集合论中"对称差"的概念对各形态变换模型进行了改化;针对数学形态学在图象处理中的实际应用,提出了新的形态滤波模型及滤波效果的度量评价模型;研究了形态细化方法,提出了快速形态细化和保形快速形态细化算法;在研究矿图基本特征基础上,提出了人机协同矿图扫描图象矢量化处理策略及一系列扫描图象处理算法模型,包括双阈值动态自适应图象二值化、图文分离、噪声去除、图面多种要素提取形态变换模型等;在图象栅格—矢量转换中,提出了保精度压缩矢量化模型,以生成分层要素矢量数据。

The frequency range and distortion model affected by Faraday rotation were analyzed. A kind of calibration algorithm was introduced, in which trihedral corner reflectors were used to calibrate POLSAR image subject to channel imbalance, Faraday rotation and RCS distortion. [2]Three kinds of target decomposition theorems used to extract polarimetric features of SAR image were studied in detail. A kind of POLSAR MLC image data decomposition method based on classical coherent decomposition theorem of POLSAR SLC image was introduced, which was used to extract polarimetric features of POLSAR MLC image.

当工作频率小于1GHz时,法拉第旋转是影响低频星载极化SAR图像定标的一个重要因素,论文分析了受法拉第旋转影响的波段范围和误差模型,提出了一种校正通道不平衡度、法拉第旋转和绝对幅度增益的极化定标算法,仅使用一种点目标——三角反射器作为定标体,应用于受法拉第旋转影响的极化SAR图像定标; [2]深入研究了三类用于SAR图像极化特征提取的目标分解理论。

However, the image-retrieving environment is so complicated, such like from a nature object to a variety of objects, from a light environment to a dark environment, or from a nature light to a daylight in office, the properties of objects, and the varieties of light sources and light intensities. These complex external image-retrieving environments let users can not get an accordant image quality. Such under a tungsten lamp, the image appears yellowish and reddish; under daylight in office, the image becomes greenish and bluish.

CCD Camera面对的是复杂的取像环境,从自然景物到各式各样的景物,从光亮环境到灰暗环境,或从自然光到办公室日光灯、景物的特性、光源的种类及光线的强弱,这些外在复杂的取像条件及变因往往让使用者无法得到相当一致的影像品质,如在钨丝灯下拍摄的影像,将产生偏黄、偏红效果的影像;在办公室的日光灯下将产生偏绿、偏蓝效果的影像。

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。

This paper describes a new algorithm of image enhancement of impulse noise based on PCNN time matrix and rough sets indiscernibility relation. For noisy gray images, the results of computer simulations show that the image noise can be reduced efficiently and the image becomes clear and the target details of the image can be enhanced better by using this algorithm. In addition, the effects of this algorithm are better than usual image enhancement algorithm.

基于粗集理论中的不可分辨关系的等价概念及PCNN赋时矩阵,提出了一种含有脉冲噪声的图像增强算法,计算机仿真结果表明,对被噪声污染的灰度图像,用基于PCNN与粗集理论相结合的图像增强算法处理后,图像噪声得到有效抑制,画面更清晰,图像中目标的细节也得到了很好的增强,其结果优于常规方法。

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相关中文对照歌词
In His Image
Compression
Mirror Image
Sage Comme Une Image
Shattered Image
Image Of The Invisible
Imagine That
My Image Unlimited
The Image
Begin Again
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