A novel edge - labeled algorithm for simple connected area scan filling is presented.
提出一种基于边界标注的单连通区域扫描线填充快速算法。
The pixel labeled algorithm is an effective method to obtain the objects s feature in image processing.
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。
On the foundation of studying former connecting area algorithms, the paper presents a pixel labeled algorithm based on recursive method of connecting area in binary images.
在研究以前二值图像连通算法的基础上，提出了一种基于递归方法的二值图像连通域像素标记算法。
If you want to use some supervised learning algorithm, you need labeled data.
如果你想使用有监督的学习算法，你需要标记数据。
The result of experiment illustrates that this algorithm based on region labeled have a high speed, and the extraction is accurate for the image of which background is complicate.
实验结果表明基于区域标注的车牌提取算法运算快，对背景较为复杂的图像中车牌的提取有良好的效果。
The algorithm is able to start extraction from a single labeled instance and then performs extraction by comparing each new instance to be extracted with labeled instances.
该方法可以从单个标注实例开始，通过将待抽取的网页与已标注的网页进行比较来完成抽取工作。
During learning, a set of feature vectors is given to the algorithm, each vector labeled with the class the object it represents, belongs to.
在学习过程中的算法中给定的特征矢量，每个矢量标记为一个分类。
During learning, a set of feature vectors is given to the algorithm, each vector labeled with the class the object it represents, belongs to.
在学习过程中的算法中给定的特征矢量，每个矢量标记为一个分类。
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