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1)  Symbol separation
图符提取
1.
Symbol separation is a key step of the automatic input of topographic map.
图符提取是地形图自动输入的关键步骤 ,通过图符的提取可以得到地形图的许多重要信息 。
2)  symbol extraction
符号提取
1.
Based on this vectorization algorithm this paper presents a symbol extraction approach which can extract all kinds of isolated and adhered together symbols effectively.
工程图符号提取是工程图识别的重要步骤 。
3)  Character extraction
字符提取
1.
A Declining License Character Extraction Method;
一种倾斜车牌字符提取方法
2.
Through studying the mathematical morphology thoroughly,a novel license plate character extraction algorithm for the gray image is proposed.
在深入研究数学形态学的基础上,提取了一种灰度图像车牌字符提取算法。
3.
First,at the stage of character extraction,the approach of color extraction is used for extracting characters when the characters color is as same as background but has difference in brightness.
介绍了一个数码管显示数字仪表表盘读数的自动识别系统,在字符提取阶段,采用颜色提取的方法,使得尽管图片的字体颜色与背景颜色相同,但只要亮度不同。
4)  character segmentation
字符提取
5)  text string extracting
字符串提取
1.
The key technologies of drawing automatic input and management system (DAIMS) for engineering drawings are presented, including the variable grid adaptive thresholding method for uneven drawing, the algorithm of text string extracting and the algorithem of primitive interactive picking, etc.
主要关键技术包括:对非均匀蓝图作自适应分块局部二值化处理;字符串提取算法;对点阵图素(直线、圆弧)的交互拾取等。
6)  image extraction
图像提取
1.
The image extraction system of light section microscope is reformed.
改装了光切显微镜图像提取系统 ,采用数字摄像头摄取表面轮廓图像 ,通过图像处理 ,可提取被测表面的二维轮廓曲线 ,计算出多种表面粗糙度参数值 ,并可打印图形和相关报表。
2.
The leaf image extraction was a key step of modeling plant organs and living plant recognition,and had important value in the fields of automatic identification of plant and modeling.
叶是植物的重要特征信息,叶片图像提取是植物器官建模和生鲜植物识别的关键步骤。
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