搜索资源列表
cornerdet
- 另一个图像角点检测程序，用于灰度图像的角点检测，角点检测是图像匹配的第一步-corner detection procedures for the gray-scale image corner detection, corner detection is the first step in image matching
HHHarrisCorner
- 加速版的CORNER检测，用于灰度图象的角点特征提取。-accelerated version of the Corner detection for the gray-scale image feature extraction corner.
OpenCV_face_detector
- This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Ins
Cann.rar
- 通过计算图像的灰度梯度，在对边缘点进行非最大化抑制实现边缘检测,Gray-scale images by calculating the gradient of the edge points to maximize the suppression of non-realization of edge detection
Study.on.License.Plate.Segmentation.Based.on.Color
- 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌 区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license pla
t1
- 一个前后相减的灰度算法的源代码，需动态图像获取-A before and after the subtraction of the gray-scale algorithm source code, to be dynamic image acquisition
identity
- 一个车牌定位.可直接用.通过灰度处理,二值化,等操作,基本实现车牌的定位,-A license plate location. Can be directly used. Through the gray-scale processing, binarization, and other operations, the basic realization of the positioning plate,
chepaidingwei
- 车牌定位识别程序，算法为先对车牌图进行灰度化，接着二值化，找点，然后定位矩形车牌，最后标出车牌位置。这个程序为图象处理的有一个经典的实例-License plate location identification procedures, algorithms for the first gray-scale map of the plate, and then binarization, finding points, and then positioning the rectangular p
freeselectmarker
- 本程序的功能是实现人为框定目标后，对目标进行灰度边缘的提取和标记。-gray scale image,edge detected.
car_detect
- vc++做车牌识别的题目,中间有个图像灰度拉伸的算法.是在图像灰度化后调用此算法进行拉伸的-vc++ to do license plates identify the subject, the middle stretch of the algorithm for gray-scale images. is in the image after stretching to call this algorithm the
DigitalIdentificationSystem
- 针对数字图象识别在国防应用领域中的技术进行相关论述，同时将以上项目中的DEMO分享出来，本项目使用了图象灰度处理、二值化HSB处理、锐化处理、去噪处理、滤波处理、OCR识别、切割及体征对比识别、BP神经识别等相关图象技术一起，希望可以提供相关人员使用。-Image recognition for digital applications in the field of national defense technology related discussion item at the same
platerecognition
- 车牌识别关键技术的程序: 256色转灰度 中值滤波 车牌截取 车牌定位等-License Plate Recognition of key technologies program: 256-color gray scale median filter plate switch plate positioning interception
facedetected
- visual c++ 实现人脸检测（二值化，灰度提取，直方图，边缘提取等）-visual c++ implementation of face detection (binary, gray scale extraction, histogram, edge extraction, etc.)
depthofimagegenerati
- OTSU方法计算图像二值化的自适应阈值，OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。下面的代码最早由 Ryan Dibble提供，此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改，补正。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。都是老外写的，经典哦。-OTSU method of adaptive image binarization threshold, OTSU
DigitRecoginitionSys
- 用VC++语言，基于灰度二阶矩阵，使用神经网络进行识别训练的数字图像识别系统-In C++ language, based on gray-scale second-order matrix, the use of neural networks to digital image recognition system to identify training
license-plate-recognition
- 包括车牌识别的源代码，图像，和论文，包括灰度处理，车牌定位，二值化等-Including license plate recognition source code, images, and papers, including the gray-scale processing, license plate location, binarization
facehei
- 将输入图像转化为0，128，255三灰度值表示的图形，-The input image is converted to 0,128,255 three gray scale value represented graphics,
TEXST
- MFC灰度图像处理，包括打开显示，滤波，二值化，直方图，几何变换等-MFC gray-scale image processing, including open display, filtering, binarization, histogram, geometric transformations, etc.
Eye-location-
- 首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼-First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally
EdgeDetection
- 程序分成两个部分，第一个部分是将原始的彩色图像转化成灰度图，第二个部分是对灰度图进行边缘检测。经过大量的图像测试，检测效果极佳。-The program is divided into two parts, the first part is the original color image into a gray-scale image, the second part of the gray-scale image edge detection. After a lot of image t