资源列表
chepaidingwei
- 自己写的车牌定位的程序，定位率比较高，算法比较新。-Their own written procedures for license plate location, location rate is relatively high, a relatively new algorithm.
chepaidingwei
- 用vc++实现的车牌定位，内附有源程序和测试图片，已经编译成功。-Vc++ to achieve with the license plate location, giving the source code and test images have been successfully compiled.
Edge-Linking--Line-Fitting
- 用matlab实现的提取边缘，高效连边软件。-detect the edges, then link the connected edges.
2006010511
- dda、bresenham 画直线 ，bresenham 画圆 ，填充算法，几何变换（平移、缩放、旋转等）， 小型绘图软件（用鼠标绘制直线、矩形、多边形、圆、填充、平移）-dda, bresenham painting straight bresenham Circle, filling algorithm, Geometric Transformations (translation, scaling, rotating, etc.), small graphics software (u
LicensePlateLocation
- 中值滤波，二值化，去除背景干扰，牌照搜索，区域裁剪-Median filtering, binarization, remove the background interference, license search, regional cut
IMAQ-module-introduces
- 对图像进行分析和处理所用到的一些控件，包括图像的类型，图像处理的方式和不同的 形态算了以及颜色的类型的选择等等。如图2 -The image analysis and treatment of some use to control, including the type of image, image processing and the way different The type of color and form calculated the choice and
f
- 这个程序是针对图像处理中的边缘检测而写的。很容易看懂-This process is image processing for edge detection and written. Very easy to understand
step1tttt20060923
- 使用天敏图象采集卡,采集流水产品图象,然后进行图形尺寸和颜色对比检测,剔除合格产品.利用LPT口控制电磁阀动作.是一个完整的视觉检测系统.已经在生产中应用.-The use of days-min image acquisition card, collecting water product images, and then graphics size and color contrast detection, excluding qualified products. The use of
pro
- 完成图像的灰度转换 二值化 边缘检测 中指滤波等简单操作-The gray scale conversion of image binary edge detection filtering and other simple finger operation
cell1234
- 一个图像处理程序，包括图像的阈值计算，去噪处理，图像面积运算等-an image-processing procedures, including images of the threshold value, Denoising processing, image size, etc. Operational
introtosecuringsystemusingfacerecognition
- this introduction to securing system using face recognition -this is introduction to securing system using face recognition
siftDemoV4
- 提取图像sift特征，实现图像局部特征识别，用matlab语言写的一个简易demo-Extracting the features of sift image, realizing the image local feature recognition, using MATLAB language to write a simple demo