搜索资源列表
9851211
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步-I write the car license plate based on color components of location identification, basically has the following steps
3785256
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步-I write the car license plate based on color components of location identification, basically has the following steps
CarNumber
- 本算法进行车牌识别，首先提取车牌的位置，然后对车牌的字符进行分割，最后进行识别，将识别结果输出。本算法能得到较好的识别结果。(The algorithm for license plate recognition, the first extraction of the location of the license plate, and then the license plate character segmentation, and finally identify the recogni
LXWUQIU
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步(I write the car license plate based on color components of location identification, basically has the following steps)
第二题
- 识别车牌，进行车牌的定位，处理，最后显示车牌位置的图片，定位好位置，进行二值化，腐蚀等处理(Recognition of the license plate, the location of the license plate, processing, the final display of the license plate position of the picture, positioning good position, two value, corrosion and other p
车牌检测识别课设
- 通过MATLAB对车牌图像进行定位、检测、提取、识别(Detection, location and recognition of the license plate)
车牌定位
- 实现对车牌图片的定位 经过去噪、二值化、边缘检测等操作(To achieve the location of license plate images through denoising, two value, edge detection and other operations.)
源程序
- 程序能实现简单环境下车牌图像的预处理定位分割和识别功能，另外还有BUI界面功能(The program can realize the pretreatment, location, segmentation and recognition of license plate image in simple environment, and also has the function of BUI interface.)
基于阈值分割的车牌定位识别MatLab实现
- 本设计基于阈值分割的方法实现车牌号码的定位与识别。利用Matlab仿真平台给出仿真例程及结果。(This design realizes the location and recognition of license plate number based on threshold segmentation method. The simulation routine and results are given by using the simulation platform of matlab.
template
- stm32+ov7670实现对蓝色车牌实现车牌区域定位、字符分割、字模匹配识别，最后识别出车牌结果。(STM32 + ov7670 realize the license plate region location, character segmentation, font matching recognition for the blue license plate, and finally recognize the license plate results.)
Desktop
- 用matlab实现车牌试别，包括定位、分割和字符识别，识别方法是神经网络。(Using MATLAB to realize license plate classification, including location, segmentation and character recognition. The recognition method is neural network.)
基于MATLAB的瑕疵检测系统
- 基于MATLAB的工业瑕疵缺陷检测，采用工业板图像作为素材。利用灰度化，二值化，边缘提取，形态学运算等方法，检测并标出出瑕疵所在位置，计算出各个块面积。设计了一个UI界面，显示瑕疵个数和面积等参数。(Industrial defect detection based on MATLAB, using industrial plate image as material. Using gray, binarization, edge extraction, morphological operat