搜索资源列表
ImgProcess
- 图像处理小程序，边界提取，二值化，分块，图论分割-Image processing applet, edge extraction, binary, block, split and so on graph theory
PICTURE
- 图像处理的一般方法，包括图像的增强、二值化阀值分割法、边缘检测法、流域分割法， 计算扁圆度、方向角、孔隙率-General method for image processing, including image enhancement, binarization threshold segmentation method, edge detection, watershed segmentation method to calculate the oblate degree, directio
identify1
- 由摄像头拍摄的图像先进行分割二值化再对单个字符进行切分识别。-Images captured by the camera first and then split binary segmentation of individual character recognition.
anhangfenge
- 在二值化图像基础上，基于空行进行分割，去掉行高太小的区域,对分割出的每一行文字，去掉前后多余的空白部分-Each line of text in the binary image based, based on the blank line segmentation, remove the row height is too small area, the segmented and removed before and after extra blank part of the
a5tuxiangzikuaifenge
- 这是关于图像的灰度图二值化，转化成二值表后进行的图像子块的分割相关程序-This is the sub-grayscale image segmentation procedures on the binary image converted into a binary form of a block after
chepaishibieCPP
- 一、车型识别 1.首先单击车型识别菜单下的载入图像菜单项（载入背景和前景图像）。 2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理，轮廓提取。 3.最后单击车型识别菜单项，对车辆进行识别。 4.测试图像存储在img文件夹下，车型轮廓模板存储在contour文件夹下。 二、车牌识别 1.先打开一幅图片，然后在车牌定位与识别菜单下依次点击：车牌提取、倾斜校正、字符分割、字符识别。 2.测试图像存储在img文件夹下。
MyDIP
- 在MFC环境下，读入一幅BMP图像，对其进行变换，如反色、二值化、图像缩放、梯度锐化、拉普拉斯锐化、均值滤波、阈值分割等-In the MFC environment, read a BMP image, transform them, such as anti-color, binary, image scaling, sharpening gradient, Laplacian sharpening, mean filtering, thresholding, etc.
Gaussian-Hermite
- 方向倾斜校正的方法，分割字符，自适应阈值二值化图像-Orientation method for skew correction, Segmentation character, Adaptive threshold for image binarization
OCR
- 对8,24,32位BMP图像进行二值化，倾斜校正，字符分割，位置判断并且利用GOOGLE的开源识别字库进行字符识别的OCR代码-8,24,32 bit BMP images to binary, skew correction, character segmentation, to determine the location and use of open source GOOGLE character recognition character recognition in OCR code
cells-counting
- Blob分析其实就是将图像进行二值化，分割得到前景和背景，然后进行连通区域检测，从而得到Blob快的过程。简单来说，blob分析就是在一块“光滑”区域内，将出现“灰度突变”的小区域寻找出来。-This example illustrates how to use the morphological and BlobAnalysis System objects to segment individual cells and count them.
zhixian_Untitled
- 本程序可以有效地解决在智能车辆运行过程中对道路中心线的有效识别，通过视频图像分割，二值化，边缘检测，hough变换最后得到。-This procedure can effectively solve the intelligent vehicle is running efficiently identify the centerline of the road, through a video image segmentation, binarization, edge detection,
License-plate-recognition
- 载入数字车牌，智能识别，检测返回识别的数字，此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。 “256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。采用神经网络进行训练识别，识别率达到90 -Loading digital license plate, identification, detection returns the identification number, is
Threshold-segmentation
- 该代码是对图像进行二值化处理，进行图像分割-The code is to binarize the image, the image segmentation
fenge
- 对图像灰度二值化，提取图像中某个色彩的部分并分割-The image is binarized and the part of a color in the image is extracted and segmented
Image-Processing
- 对图像进行二值化、去除椒盐噪声、分割等处理-The processing of binary image and remove salt and pepper noise and segmentation
实验报告7-马杰民1030514432
- 1. 在GUI中，实现图像的阈值分割（交互式、迭代法）、区域生长。 2. 在GUI中，，实现二值图像的膨胀、腐蚀, 比较'结构元素类型为：square,line, diamond, disk等的区别。 3. 在GUI中，实现二值图像的开运算、闭运算。 4. 在GUI中，实现二值图像的形态学应用： 边界抽取 (boundary extraction) 区域填充 (region filling) 细化 (thinning) 粗化 (thickening) 骨架 (skeletons) 修剪 (pr
stamp
- 对邮票图像进行处理，通过常用的二值化阈值分割来检测生产出的邮票的好坏(The stamp image is processed, and the quality of the produced stamps is checked by the commonly used two valued threshold segmentation)
车牌识别系统MATLAB源代码完整
- clc; clear all; close all; [filename, pathname, filterindex] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files' }, '选择待处理图像', ... 'images\01.jpg'); file = fullfile(pathname, filename);%文件路径和文件名创建合成完整文件名 id = Get_
center of laser spot-1
- 对图片应用利用max，min等函数求阈值分割点，最后转化为二值化图像，去噪后利用中值滤波处理再除噪，找出光斑中心位置和半径。(After binaryzation of the image processing, and then remove noise, find the center of the spot and radius)
神经网络 训练识别
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。(1. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, ti