图像分割算法包括规格化、柔化、点方向图、背景前景分割四个部分。
The fingerprint image segmentation algorithm include normalize, soft, the direction of point, the segmentation of background.
针对视频序列，仅利用其时域信息，提出了一种简单有效的运动前景分割算法。
This paper represents a simple moving foreground segmentation method in video sequences only using their temporal information.
该系统的处理过程主要包括四个阶段：前景分割、目标检测、特征提取和车型分类。
The process of this system includes four phases: the prospects for segmentation, target detection, feature extraction and classification models.
修改分割函数，使其仅在前景和后景标记位置有极小值。
Modify the segmentation function so that it only has minima at the foreground and background marker locations.
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.
首先，利用基于相位一致梯度与前景标记的分水岭变换进行影像分割，提取图像斑块；
The method consists of three steps. Firstly, image segmentation is achieved by watershed transform based on phase congruency gradient and foreground marking to extract image objects.
本课题还可扩展到非刚性物体、三视或多视运动分割等，具有广阔的发展前景。
This topic which can also be extended to non-rigid objects, three or more view motion segmentation and so on has broad prospects for development.
白色颜料也悄悄画下了构图的分界线，将画面分割成前景、中景和延伸的背景。
Here, the white paint creates compositional division in dividing the canvas into foreground, middle and into an expanding background.
为了降低RBIR中图像分割的影响，提出了一种基于前景和背景划分的区域图像检索方法。
In order to reduce adverse effect of image segmentation in RBIR, a new method based on partition of foreground and background is proposed.
第六章立足于当今市场需求，展望了基于手持移动设备的视频图像分割与渲染研究和应用的广阔前景。
In the sixth chapter, from the current marketing demand, prospect the promising future of research and application about Video Image Segmentation and Visualization for Portable and Mobile Devices.
最后对分割结果进行了形态滤波，以此来消除杂点等，恢复出图像序列中的运动前景。
Finally, we performed morphological filtering on the segmentation results, in order to eliminate the miscellaneous points and restore the moving foreground of the image sequences.
实验结果表明，结合核主成份分析的特征提取，支持向量机方法是一种很有前景的多目标图像分割技术。
This paper investigates the segmentation of multi-target image based on SVM approach combining feature extraction of kernel PCA.
本文的方法以图像分割之后的区域为匹配基元，灰度相差较大的前景和背景区域分割之后将归属于不同区域，所以能较好的解决该问题。
After divided, the foreground and background regions which have biggish gray difference will belong to different regions, therefore the method can solve the problem mentioned before.
而后 ，经过一系列的后处理来优化分割结果 ，并实现前景和背景区分 ；
Then the result of the original segmentation is improved by some extra processing. After that, a special method is employed to distinguish the foreground regions and background regions.
劳动力市场分割是目前我国劳动力市场运行中一个突出的现象，也是经济学中一个重要并且很有前景的研究领域。
Now labor market segmentation is an obvious appearance in our country's present labor market operation, also an important and prospective research field.
该方法先将视频序列分割出前景对象与背景对象，然后分别针对分割出来的前景对象与背景对象进行压缩，而此时背景就可以只压缩一帧或者关键几帧。
In this algorithm, the foreground objects and background are divided and then compressed separately. We only need to compress one or several background of key frames.
实验结果表明：该算法能够较好地从视频序列中分割运动前景和背景，比较适合于在基于内容的视频编码标准MPEG - 4中使用。
Experiment results show that the algorithm can preferably segment moving foreground and background in video sequence and it fits for MPEG-4coding standard, which is content-based.
在综述了图像分割和绘制中各种方法和技术的基础上，对各类方法的应用场合和应用前景进行了分析和评价。
Based on the overview of the methodologies and technology about the segmentation and rendering, some application backgrounds and prospects of these methodologies are compared and evaluated.
将胚胎分割技术与细胞核移植、临床诊断等相结合，将具有更为广阔的应用前景。
There will be wider application prospect if we combine the embryo bisection with new biotechniques such as cell nuclear transfer, diagnosis before child birth, and so on.
最后，在统计域中对前景目标进行鲁棒分割。
Finally, the foreground objects are robustly segmented in the statistical domain.
从图像分割、图像配准及组织定征和生物测量三个医学超声图像分析的主要方面对国内外近年来的主要研究情况进行综述和评价，并在此基础上探讨其发展前景。
This paper reviews and evaluates the study in the areas of image segmentation, image registration, tissue characterization and biology measurement, and their latest development in recent years.
背景差分法是一种重要的运动目标分割方法，但是其不仅对背景质量的要求较高，且易将运动阴影误检测为前景目标。
The background difference is important for segmenting mobile objects. But this method highly depends on background quality and easily regards moving shadows as objects.
在大量文献的基础上，对目前常用的分割方法及评测手段进行了全面的归纳和总结，分析了文本分割技术的研究现状，指出尚存在的问题并展望研究前景。
The current work on segmentation approaches and direct evaluation methods are generalized on the basis of lots of literatures. The paper presents the status of text segmentation, points out the...
然后，作者又使用了一种基于边缘检测的蓝箱抠像算法，综合利用经典的图像分割算法提取前景目标。
The author uses improved Euclid Distance as measurement to extract the object and tests the method in several color spaces.
该方法能容易而准确地分割出背景区域和前景区域，适用于不同质量和不同级别的指纹图像。
The method can be easily and accurately separate the prospects for regional and regional context, applicable to the different quality and different levels image of the f...
该方法能容易而准确地分割出背景区域和前景区域，适用于不同质量和不同级别的指纹图像。
The method can be easily and accurately separate the prospects for regional and regional context, applicable to the different quality and different levels image of the f...
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