plate area meaning in Chinese
极板面积
Examples
- Less drift will result from making c with a few parallel caps , to reduce the heating effect of the oscillating current when spread out over a larger plate area
当分为一个更大的平面面积时,通过电容c和一些电容并联将导致更少的漂移,这样来减少振荡电流的热效应。 - Because of the abundant upright texture characteristics of the plate area , the algorithm of improved image difference and the algorithm of finding the lowest error limit data are employed as first disposal
基于车牌区域具有丰富的竖直纹理的特点,本文首先采用了改进的横向差分法和最小误差阈值法对去除过背景的多车牌图像进行预处理。 - Using the different gradients of the plate area and the non - plate areas in a car image , a neural network is trained . then the image is classified with the trained network . finally , with the help of the projection features and the geometric features of car license plate , the license plate is located
该算法利用牌照区和非牌照区不同的梯度特征对神经网络进行训练,之后用训练好的神经网络对图像进行分类,最后结合牌照的投影特征和几何特征实现牌照的定位。 - The three steps included in the algorithm are license plate segmentation , which consists of rough segmentation and accurate segmentation , character segmentation and character recognition . the rough segmentation transforms the original image into a texture image , and locates the plate - like areas through the intensity of textures in these areas , and thus finds out the only true plate area according to their gray vertical projection
对车牌定位,论文研究了纹理分析和灰度垂直投影相结合的粗定位算法,先把图像转换成纹理图,利用车牌区域纹理丰富的特点找到各个类似车牌的区域,然后对这些车牌候选区域采取垂直方向的灰度投影来判别真伪车牌,获得唯一的车牌区域。 - This algorithm is based on the texture feature of the characters on a license plate . firstly , the long horizontal lines with small change in gray level in a car image are removed . secondly , small areas are got rid of , then an analysis of the geometric features of the connected areas and the number of inner pixels and pixels on its edge is made , and with the help of the geometric features and the projected features of car license plate , the license plate area is found out
提出了一种基于字符纹理特征的汽车牌照自动定位算法;该算法结合牌照区字符的纹理特征,首先将汽车图像中灰度值变化平缓的长水平线去掉,之后将小的区域去除,然后对留下的连通区域的几何特性、内部象素个数、边缘象素个数等信息进行分析,结合牌照的几何特征和投影特征,找出真正的牌照区域。