This paper presents an algorithm of automatic background extraction of target based on fast motion.
提出了一种快速运动目标的背景自动提取算法。
A novel method of histogram analysis for background extraction of video images was proposed, which was derived from the pixel-based histogram analysis.
在基于像素的直方图分析背景提取的基础上，提出了基于块的直方图分析背景提取方法。
Comprehensive use of gray scale statistics, FIR filter and the median, the background extraction algorithm can extract accurate and reliable background.
背景提取算法综合运用灰度统计、FIR滤波和中值法，提取的背景准确可靠。
Research works in this paper are summarized as follows:Firstly, we propose a background extraction and update method based on block features by improving an existing algorithm.
概括起来，本文的主要研究内容如下：首先，我们通过改进现有算法，提出了一种基于块特征的背景提取与更新方法。
The video sequences are processed by the background extraction and adaptation, moving objects detection, shadow detection, eroding and dilating image in order to create the moving pedestrian contour.
首先利用视频图像处理技术实现背景提取、背景更新、移动目标检测。
Now that we have a frame-by-frame extraction of our source video files, we can create tiled background images in sequence for each frame of the final product.
既然我们已逐帧提取出了源视频文件，对于最终产品的每一帧，我们可以按次序创建贴片的背景图像。
The experiments show the high efficiency of this algorithm for contours extraction of moving objects from color image sequence with complex background.
分析和实验表明，该算法抗干扰能力强，对复杂背景及不重叠物体，可以精确定位并提取出各个运动目标的外轮廓。
This paper has deep ly researched image segmentation. Aiming at the color image with complicated background, a novel method of close contour line extraction is presented.
该文针对复杂背景的彩色图像，提出并实现了一种图像封闭轮廓线提取的方法。
An effective method for steel number extraction and segmentation under complex background is presented in this paper.
提出了一种复杂背景下多钢块图像编号的提取和分割方法。
The extraction of signal embedded in frequency band of chaotic background is always an important and difficult problem in chaotic signal processing field.
针对强混沌背景中频带内信号难以提取这一问题，提出了基于正交小波变换与小波软阈值滤波相结合的方法。
A target extraction algorithm based on the background segmentation technology was proposed in this paper for the water surface moving targets in the complex background.
基于背景分割技术提出了一种复杂背景下水面运动目标提取算法。
In feature extraction, a difference motion detection algorithm of adaptive background updating is proposed, which has a good robustness to the changing of background and illumination.
在特征提取方面，提出了一种自适应背景更新的差分运动检测算法，该算法在运动对象轨迹的检测中对背景的抖动和光照条件的变化具有较好的鲁棒性。
This paper mainly studies the extraction of high-altitude targets, particularly for airspace object because of the gray level difference of target and background.
本文主要研究对空域目标的提取，针对空域目标和背景特殊的灰度差异性对目标进行分离。
The foreground extraction method is quite suitable for picking up the target contour of the background image in a fixed area, such as monitoring of the surrounding environment of an ATM and the like.
本发明非常适合于固定区域的背景图像中提取目标轮廓，如ATM机周边环境的监控等。
This paper deals with extraction of spectral lines of underwater targets in background noise using a space-time integral method.
利用目标线谱与自噪声线谱在时间域和空间域上的差异，采用时空联合手段研究舰船噪声中目标线谱的提取方法。
This research mainly adopts image segmentation technique for insulator extraction under complicated background and the segmentation results lays the foundation for the fault diagnosis further.
本文研究了复杂背景下绝缘子图像的分割方法，为进一步的故障诊断奠定了基础。
Road extraction from the satellite imagery is studied in this paper and the main works are summarized as below:1. Introducing the background of research and the development trend of road extraction.
课题研究的背景阐述，详细论述了国内外道路自动提取的现状及发展趋势。
Based on the above background, this article conducted the system research to the oil industry oil extraction equipment management.
基于以上背景，本文对石油工业采油设备管理进行了系统研究。
The approach effectively reduces the influence of peripheral background intensities texture on the extraction of a cell region.
提出的方法结合了前人方法的优点，能有效降低周围背景灰度和细胞区域纹理对对分割结果的影响。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
According to the study of main motion detection and moving objects extraction methods, a new method combining frame-difference and background-difference was put forward.
在对视频监控中运动目标检测识别常用算法进行研究的基础上，本文提出了一种新的基于两帧差分法和背景差分法相结合的运动目标检测方法。
BACKGROUND: Extraction of fungal DNA plays an important role in fungal genetic engineering and molecular biology research.
背景：真菌dna的提取在真菌基因工程以及分子生物学研究中占有重要地位。
BACKGROUND: Extraction of fungal DNA plays an important role in fungal genetic engineering and molecular biology research.
背景：真菌dna的提取在真菌基因工程以及分子生物学研究中占有重要地位。
应用推荐