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DigIdentify
- vs2010结合opencv编写的canny边缘检测程序，包含了图像的灰度处理，二值化等预处理，也有投影映射图像程序。-vs2010 combined canny edge detection opencv prepared program, including a gray-scale image processing, binarization pretreatment, but also the image projection mapping program.
QTConfigurationTest
- 本源码包括了：图像的运算、图像的形态学变化、图像的灰度化处理、图像直方图显示、图像的边缘检测、图像分割-The source includes: morphological changes of the image computing, image, grayscale processing, image histogram display, edge detection, image segmentation, etc.
tuxiang-lv-bo
- 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 -Mainly discuss how to get the picture after extracting its boundary information, the first use of the im
tuxianbianyuanfudao2
- 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提.-Mainly discuss how to get the picture after extracting its boundary information, the first use of the image cont
bianyuanjiance
- Prewit t 算子和Sobel 算子都是对图像进行差分和滤波运算,仅在平滑部分的权值选择上有些差异,但是图像产生了一定的模糊, 而且有些边缘还检测不出来，所以检测精度比较低, 该类算子比较适用于图像边缘灰度值比较明显的情况。-Prewit t operator and Sobel operator is on image difference and filtering operation, only some differences in the smooth part of the we
tuxiangchuli
- 可以实现图像的预处理，主要包括灰度化、二值化、边缘检测、高斯去噪、细化、平移和旋转以及分割归一化处理等。-Can achieve image preprocessing, including graying, binarization, edge detection, Gaussian noise removal, thinning, translation and rotation and dividing normalized treatment.
chepaijiance
- 准确对车牌进行定位,首先要把车牌图像灰度化，接着对图像进行中值滤波进行初步降噪，下一步进行Sobel纵向边缘检测，即增强车牌纵向边缘，边缘检测后进行二值化处理，此时车牌区域特征得到进一步加强，但同时又加强了背景中的部分噪声，所以再对其腐蚀，然后定位及截取车牌，最后对车牌进行二值化。-Accurate positioning of the plate,First, take the license plate image gray, then the image median filtering
main
- 自己写的C++图像处理代码，实现了灰度值转换，二值化，canny边缘检测，Hough运算，投影法进行字符分割。-Write your own C++ image processing code, to achieve a gray value conversion, binary, canny edge detection, Hough computing, projection method for character segmentation.
d
- mfc在对话框中显示opencv图像,并实现图像的灰度化，中值滤波，边缘检测，二值化-opencv mfc dialog box shown in the image, and to achieve gray image, median filtering, edge detection, thresholding
jiancezhixian
- 图像处理 灰度化，图像增强，边缘检测，几何特征检测-Image processing gray, image enhancement, edge detection, geometric feature detection
Plate
- VC++ 车牌识别源代码示例。对车牌进行图像灰度化、灰度均衡化、边缘检测、预处理、定位车牌、分割车牌、车牌二值化处理，最后截出车牌区域。-VC++ license plate recognition source code examples. On the license plate gray, gray balance, edge detection, pretreatment, positioning plates, dividing the number plates binary pro
ImagProc
- 对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
MyImage
- 对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
bmp_proc
- bmp图像处理基础，包括读取、保存、灰度化、边缘检测、滤波等基本操作。适用于初学者-bmp image processing base, including read, save, gray, edge detection, filtering and other basic operations. For beginners
MainActivity1
- 安卓下图像处理，灰度化，二值化，直方图均衡化，边缘检测等。-Image processing, binarization, edge detection and so on
MyDIP
- MyDIP C++图像处理程序源代码，实现图片灰度处理、图像缩放、图像变换、图像边缘与轮廓的相关处理等。关于源码内的Template()函数：作用是用指定的模板（任意大小）来对图像进行操作，参数iTempH指定模板 * 的高度，参数iTempW指定模板的宽度，参数iTempMX和iTempMY指定模板的中心 * 元素坐标，参数fpArray指定模板元素，fCoef指定系数。 关于PrewittDIB()函数：作用是用Prewitt边缘检测算子对图像进行边缘检测运
chap1_5
- 整合了24位BMP转8位灰度图，图像锐化，中值滤波，二值化处理，Soble,Krisch边缘检测，轮廓提取，计算矩形角度等-Integrated 24 BMP to eight grayscale, image sharpening, median filtering, binarization, Soble, Krisch edge detection, contour extraction, rectangular angle calculation
VCPP-Image-Processing-Code
- VC++图像处理：灰度变换+图像平滑+中值滤波+锐化+边缘检测-VC++ Image Processing Code
car-number
- 能够对大部分的车牌进行定位,和识别 .包括数字图像处理的 均衡化,灰度化,中值滤波,平滑处理,各种边缘检测算法,还有四种二值化方法-car num
The-license-plate-recognition
- 首先，针对车牌图像预处理采用了灰度化、中值滤波等的算法。其次，车牌定位的模块中研究了基于Canny的车牌边缘检测算法和形态学操作，提高了系统定位的准确率。然后，用基于垂直投影的垂直切分算法对车牌进行字符切分。最后采用模板匹配的算法对车牌字符进行识别。 -Firstly, the license plate is with a gray image preprocessing, median filtering algorithm. Secondly, the plate positioning