background image

[ˈbækɡraund ˈimidʒ]
  • 释义

    背景图像;

数据更新时间:2026-08-24 14:28:09
1、

The recognition arithmetic solves inexact extracted feature, which is brought on by disturbance of background image near the object in ordinary recognition arithmetic.

此算法有效地解决了一般传统识别算法难以区分目标和其近邻区域的干扰,而导致跟踪目标特征量提取不准确的问题。

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2、

Use the selected image as the background image of the page

用选定的图象作为页面的背景图象

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3、

The styles defined in the file include the background image for the page.

此文件中定义的样式包括页的背景图像。

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4、

Object detecting method based on background image difference using dynamic threshold

基于动态阈值背景差分算法的目标检测方法

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5、

Option to Clear the background image and sketched image separately.

可以清除背景图案,进行独立的绘画操作。

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6、

Detection Algorithm for Small Target in Cluttered Cloud Background Image Sequences

云杂波背景图像序列中小目标检测算法研究

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7、

The Research on Hand Gestures Segmentation Based on Difference Background Image

基于背景图像差分的手势分割方法研究

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8、

How the background image is attached to an element within the document

背景图像如何附加到文档中的元素

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9、

Instead, make the area transparent so that your theme's background image shows through.

反之,使该区透明度,让你的主题背景,通过展示形象。

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10、

Gets or sets the layout of the background image of the progress bar.

获取或设置进度栏的背景图像的布局。

provided by jukuu

11、

The way the background image and text are combined.

该方法的背景图片和文字相结合。

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12、

The text has a specific formatting, such as font, font size, and spacing, so that it can sit on the background image and give an impression of a single image.

文本具有特定的格式,比如字体、字体大小和间隔,所以文本可以叠加在背景图像上,形成单一图像的效果。

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13、

Based on the real target image and background image we research the dynamic synthesis technology.

研究了基于真实拍摄的目标图像和背景图像的动态合成技术。

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14、

The background image used by GUI elements in this given state.

此背景图片用于此给定状态的GUI元素。

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15、

The characteristics of extracting moving object properties are analyzed by means of frame difference, background image difference and optical flow methods.

分析了帧间差,背景图像差分以及光流法在提取目标检测区域内运动物体方面的性能。

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16、

An Algorithm for Facial Features Extraction in Complex Background Image

一种复杂背景下的人脸特征提取算法

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17、

Application of Real Time IR Simulating Background Image

动态模拟红外背景图像应用

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18、

First builds the background image with Gauss Model.

首先利用高斯建模生成背景模型。

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19、

Causes the target object can better separated from the background image.

使得目标物体能较好的从背景图像中分离出来。

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20、

Use a background image for each folder type

为每种文件夹类型使用一种背景图片

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21、

Extra space to be added to the background image.

要添加额外的空间的背景图片。

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22、

The ultimate purpose of moving target detection in video and image sequences is extract motion area from the background image in image sequences to track and analyze moving targets, which become an basic on intelligent forecasting and visual processing.

运动目标检测的目标是在视频序列图像中将运动变化目标区域从背景图像中提取出来,以此跟踪和分析运动目标的存在,为后期的智能预测和视觉处理打下基础。

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23、

First up, add a background color, perhaps a background image, set default font color, style, and alignment, and do anything else you'd normally do with CSS.

首先,添加背景颜色(可能是一张背景图),设置默认的字体颜色、样式、对齐,以及对CSS进行通常所需的设置。

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24、

You can also change the background image that is shown behind the date.

你也可以改变背景图像就是显示日期后面。

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25、

The background image size is different from the original.

背景图像大小和原始的不同。

provided by jukuu

26、

Results: Lesion of eyes was actinomorphic, and was relatively quiet, grade was low, mainly presented as retinal pigment epithelium ( RPE) and choroidal capillary atrophy. Background image choroidal at early stage showed hypofluorescence, and big choroid blood vessel low fluorescence were seen.

结果:双眼改变较为对称,病变相对安静,层次偏浅,以视网膜色素上皮和脉络膜毛细血管层萎缩为主,早期脉络膜背景荧光暗淡,透见脉络膜大血管,并可出现低荧光区。

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27、

Select the report item to which you want to add a background image.

选择要为其添加背景图像的报表项。

provided by jukuu

28、

This step is linked with the final render step, so we will simply create a background image one at a time with specified parameters, then automate this generation process frame by frame.

此步骤与最终渲染步骤关联,因此我们将使用指定参数一次仅创建一个背景图像,然后逐帧自动进行此生成过程。

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29、

Gets or sets the background image displayed in the.

控件中显示的背景图像。

provided by jukuu

30、

This paper proposes an effective approach to improve Otsu thresholding, which combines cohesiveness of foreground and background image pixel class into standard Otsu thresholding and presents an improved classification function.

本文提出了一种对Ostu法进行改进的阈值计算方法,将前景和背景像素类的内聚性结合到Otsu法中,并给出了一个改进的分类判别函数。

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