Image size
- 网络图像大小;图象大小;影像大小
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The background image size is different from the original .
背景图像大小和原始的不同。
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Design of M Interpolation Filter for Image Size Conversion
用于改变图像大小的M带插值滤波器设计
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First I address the inverse relationship between image size and resolution .
首先我将阐述图像尺寸和分辨率之间的反比关系。
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Image size not yet available because it has not finished loading .
由于图像未完成加载,所以图像大小尚不可用。
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The Web Application of Acquiring the Image Size Based on ActiveX DLL
利用ActivexDLL开发获取图片尺寸大小的Web应用系统
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Effect of input image size and elastic factor on 2D Morlet wavelet transform
输入图像尺寸和伸缩因子对二维Morlet子波变换的影响
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Image size conversion is an important subject in the applications of the multirate signal processing systems .
改变图像尺寸是多速率系统的重要应用之一。
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Division cannot exceed image size .
拆分不能超过图像尺寸。
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Adjusts width to computer analog image size
按计算机模拟图像尺寸调节宽度
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The computing expense is limited on 256 histogram data and has no relationship with the image size .
本方法参与运算的数据量为256而与图象尺寸无关,使运算速度大为提高。
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Image Size Conversion Using Two-dimensional Separable Interpolating Filters
基于变量分离内插滤波器的图像尺寸转换
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If you change the image size to400 by200 like this
如果您希望图像的大小是400X200,就可以采用下面的方法
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In addition , the efficiency of parallel computing is studied under different conditions as different image size and different cluster size .
针对不同大小图像、以及不同的集群规模,分析了并行计算的性能。
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Choose a foreground image size that is a larger multiple of your movie image tile size .
选择一个比您的影片图像贴片大几倍的前景图像。
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This image size contains over a million pixels that can each be altered in this way .
该图片大小包含100万像素,每个像素都可以使用这种方法改变。
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Compared with other algorithms , it is less affected by image size and the complexity of color distance formula .
与其它算法相比,具有受图像大小、距离公式复杂性的影响较小的优点.*
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The algorithm is easy to implement with less amount of computation and independent of transmission , rotation and image size .
该算法容易实现,运算量少,且与图像的平移、旋转、尺度无关。
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Adjusts position to computer analog and video image size Ortho-rectifying space-borne SAR based on fine registration and image simulation
按计算机模拟图像和视像尺寸调整位置组合图像模拟和精配准的星载SAR图像正射校正
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At different levels of CCD camera noise and image size diffusivity , we have compared the centering error between two algorithms .
在不同噪声水平和光点的不同扩散度下比较了两种算法的定位精度,并讨论了二维修正矩定心法的最佳门限取值方法,分析了误差的主要原因。
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Can automatically import pictures and automatically adjust the image size while emissions of plates placed in sequence on the specified location .
辅助CDR设计软件进行图片文字编辑。可以自动导入图片并自动调节图片大小同时将图版按顺序放排放在指定位置上。
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Block strategy ensures that the complexity of measurement process does not change due to image size , so the method is suitable for handling high-resolution images .
分块保证了观测过程的复杂程度不因图像尺寸而改变,适合处理高分辨率图像。
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At present commonly used method is linear scaling method , just mechanical click the image size to zoom , therefore there exists the image distortion shortcomings .
目前常用的方法是线性缩放方法,只是机械的按图像尺寸大小进行缩放,存在着图像失真的缺点。
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Extensive experiment results demonstrate that the proposed algorithm is effective , and the processing speed of the system reaches 20 fps for the image size of 320 × 240 .
目前,以该算法为核心的实时目标跟踪系统对图像大小为320×240的视频序列内任意尺寸目标的平均处理速度达到20帧/s。
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Carries out text-row extracting using horizontal-projection algorithm , and normalizes the image size using bicubic-interpolation method . 5 .
采用水平投影法实现了文本行的切分,采用双三次插值法实现不同大小的文本行图像的规格化。
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The development of CCD technology in the sensitive , resolution and image size ect provides useful conditions for realizing the digitalizing of testing in shooting range .
CCD技术在灵敏度,分辨率以及像面尺寸等技术方面的提高,为靶场测试的数字化实现提供了有利条件。
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However , if your network 's bandwidth is a bottleneck , this could help since you 'll typically experience decreased media I / O time due to the decreased image size .
然而,如果网络的带宽是一个瓶颈的话,压缩会有所帮助,因为随着备份镜像的缩小,通常您可以体验到介质I/O时间减少了。
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A Web application method is proposed , which builds ActiveX DLL component with Visual Basic to acquire the image size . It meets the demands of image size in Web application .
以Web应用系统中对图片尺寸大小的需求,提出一种用VISUALBASIC创建ActivexDLL组件实现获取图片尺寸大小的Web应用方法。
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This method can overcome the localization of Radon transformation , make the trace signal detected when background noise is strong , and can detect smaller trace relate to whole image size .
该方法克服了Radon变换方法的局限性,使尾迹信号在背景噪声较强时依旧能被检测出,并且能检测出相对于整幅图像的尺寸较短小的尾迹。
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At present , there are a variety of explanations about the concept of scale such as resolution , image size , quantitative , the distance and convolution kernel and so on .
目前对尺度的概念有多种解释,如采用不同分辨率作为图像尺度的,也有以图像尺寸大小为尺度的,有的以距离远近作为尺度,还有以卷积核的参数为尺度。
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We combined image size compression methods including nearest neighbor interpolation , bilinear interpolation and cubic convolution interpolation and the proposed SIFT method , and made an application to the image mosaic .
本文将最近邻插值法、双线性插值法和双立方插值法等图像尺寸压缩方法与自适应阈值SIFT方法相结合并应用到图像拼接领域。