图像目标提取是图像语义抽取及其应用的基础。
Extraction of object in an image is a precondition for semantic image retrieval.
针对PTF计划，该组织将对每夜捕获的3000万个目标图像进行处理和提取。
For the Palomar Transient Factory project, the group will process and extract images of up to 30 million objects captured each night.
当武士的激光剑击中目标时，从这个背景中提取出形状不规则的小洞，叠加在演员的图像上，效果就像是他被刺穿了。
Small irregular-shaped holes extracted from this background would then overlay the player's image when the opponent's laser beam struck their targets.
根据这一特性，提出了一种基于色彩空间参照表的适用于水果采摘机器人视觉系统果实目标提取的图像分割算法。
Based on these features, an algorithm to extract fruits object from images, which is based on the approach of color space reference list, was put forward.
结果表明，这种特征提取方法能有效地提取灰度图像目标纹理特征，并且对噪音和形状的变化具有强鲁棒性。
The results indicate this method can effectively extract texture feature of gray image target, and has robust to noise and change of target shape.
本文介绍一种复杂背景中目标图像的提取与高精度目标形心跟踪算法。
This paper presents an algorithm for target image extraction and high precious target centroid tracking in complex environment.
顺序扫描可以从视频中提取高品质图像，尤其是对移动目标。
Progressive scanning enables better quality images extracted from the video, especially for moving targets.
由于高分辨率SAR图像中，目标背景复杂，同时由于受相干斑噪声的影响，因此很难直接从原始图像数据中提取道路特征。
Due to the complicated background of objectives and the speckle noise in the high-resolution SAR images, it is almost impossible to extract roads directly from original remote sensing images.
在二值边缘图像中应用双窗口分别选定目标和要去除的噪声，在各窗口中采用双向扫描提取目标特征。
Choose the target and the noise that will be removed in two Windows, then extract target with dual-direction scan in each window.
图像分割是从输入图像中提取目标或感兴趣区域的过程，是目标检测和识别过程中的重要步骤。
Image segmentation is the process of detecting objects or interesting areas from input image, and it is an important step in object detection and recognition.
利用简单、实时的算法有效实现了亚成像系统中的目标图像分离、标记提取与定位。
A simple algorithm is introduced to separate, extract and location target image in sub image system.
在医学图像的处理中，目标对象的定位和边缘提取至关重要，它是定量分析和辅助诊断的基础。
Location and edge detection of the target object is crucial in the medical image processing and it is the base of quantitative analysis and aid diagnosis.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
多目标轮廓提取是图像分割的重要研究内容。
Multiple-objects contour extraction is an important area in image segmentation.
选取适当的阈值和边缘检测算子对候选目标进行图像二值分割和边缘提取；
Then, the proper grayscale threshold and edge-detector are selected to obtain the binary image and the target boundary.
对于SAR图像线状目标提取来说，线基元提取是一个非常重要的步骤，如何选择最合适的线基元提取方法影响整个算法的成败。
Since primitive line segments extraction is an important procedure, how to select the proper line segments extraction approach is the key to the extraction of linear object of SAR images.
数字图像的边缘检测是图像分割、目标区域识别、区域形状提取等图像分析领域中十分重要的基础。
Figure image edge detection is very important basis in image -division, identify object zone, pick-up zone shape.
该方法将图像平滑、区域分割、阈值分割等多种图像处理技术有机的结合，对采集的图片成功的实现目标汽车提取，并且具有计算速度快、准确性高的特点。
It combined the technology of image smooth, region segmentation and threshold segmentation and picked up the object auto. It has high speed and high veracity in program.
研究基于速度特征矢量提取运动目标的图像分割方法。
An image segmentation method based on the velocity feature vector of moving target was proposed.
它是指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程。
It refers to the characteristics of image into regional extracts interested target technology and process.
介绍了对检测到的微生物图像的目标区域，自动提取静态微生物图像的纹理特征和几何形状特征的主要技术和方法。
With reference to the graphic target zones, a new technique and method are provided to extract the texture feature and geometrical configuration features of the stored-grain microbe are acquired.
通过热红外偏振成像系统获得了目标的偏振图像，并由计算机提取出了图像中的偏振信息。
Polarization images of targets are obtained by the thermal imaging polarimeter, and the polarization information of targets is extracted by computer.
像素标记算法是图像处理中提取目标特征量的一种有效方法。
The pixel labeled algorithm is an effective method to obtain the objects s feature in image processing.
该算法在FLIR -A TR系统中得到应用，对于FLIR目标图像轮廓的提取和抑制杂散背景方面获得了良好的效果。
This new algorithm was applied in a FLIR-ATR system, and got favorable results in achieving IR target contours and damping background noises.
本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础。
Fringe examination of the digital image is an important fundamental to explore the further image processing areas, such as image division, object region reorganization and region shape picking-up.
在高频声纳图像目标检测中，对图像分割后，需要对前景目标参数进行提取。
In object detection of high frequency sonar image, it needs to get the parameters of foreground objects after image segmentation.
第四章分析了图像视觉特征的邻域矩特征描述，并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。
In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.
本文系统研究了利用特征基于模型SARA TR系统中，SAR图像目标特征提取方法和分类方法。
Methods of feature extraction and classification of target in model-based SAR ATR using feature are studied systemically in this paper.
对于目标中带孔或目标颜色信息和背景颜色信息相似的图像，单独根据边界信息或区域信息无法提取出准确的目标。
For some objects with holes, or their color information similar to the background's, object can't be extracted exactly only by boundary information or region information.
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