搜索资源列表
Pixel
- 基于opencv对实时画像像素的直接操作-Based on the real-time image opencv direct manipulation of pixels
Medianblur-opencv
- 中值滤波选择每个邻域像素的中值输出； -截尾均值滤波是指去掉百分率为 的最小值和最大值；定义域滤波中沿着边界的数字是像素的距离；值域就是去掉值域外的像素值。-Median filter to select each neighborhood pixel values in the output - trimmed mean filter is the minimum and maximum percentage of the removed domain filte
Opencv
- 采用8种方法对图像Mat的像素进行扫描，并对像素点的像素进行压缩，压缩间隔为div=64,并比较扫描及压缩的效率,效率最高的是采用.ptr及减少循环次数来遍历图像，并采用位操作来对图像像素进行压缩。-8-Mat method for image scanning pixel pixel pixel compression and compression interval div = 64, and scanning and comparing the compression efficiency
modify-pixel
- opencv + visual stdio.访问并修改图像的每个像素点（RGB）-opencv+ visual stdio.Access and modify each pixel of the image (RGB)
Get-Pixel
- OpenCV显示鼠标点击处的坐标及对应的图像的像素值-OpenCV display coordinates and the corresponding pixel values of the image at a mouse click
read-pixel
- opencv读取图片，并添加鼠标事件，左击鼠标显示图片像素。-opencv read picture and add mouse events, left-click the mouse to display the picture pixels.
opencv
- opencv算法，特征点精确定位、三维子像元插值等-opencv algorithms, feature point precise positioning, three-dimensional sub-pixel interpolation
openCV-binarization
- 将一幅彩色图像二值化为灰度图像，其中灰度值大于某一阈值的像素赋予灰度值1，小于该阈值的像素赋予灰度值0-A color image to a grayscale image binarized, wherein the gray value is greater than a threshold value assigned to the pixel gray value 1, is smaller than the threshold value assigned to the pixel g
pixel-put-and-read
- 主要为图像的像素值的读取和输出，采用opencv和C++编程，-Mainly for the image pixel values of the load and the output, using opencv and c++ programming,
UsePointerAccessPixel
- 在OpenCV中用指针访问像素实例。在OpenCV中用指针访问像素实例-Pixel pointer accesses instances using OpenCV. Pixel pointer accesses instances using OpenCV
ConsoleApplication2
- 将原始图像的像素坐标进行变换成桶状投影，改变图像外形，不改变图像其他属性(The pixel coordinates of the original image is transformed into a barrel shaped projection)
人脸识别
- 使用OPENCV库提供的接口，实现人脸的识别功能。 在一个人脸识别系统中，应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感，所以假如在暗室训练，在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置（比如眼睛位置为相同的像素坐标），固定的大小，旋转角度，头发和装饰，表情（笑，怒等），光照方向（向左或向上等），这就是在进行人脸识别前，使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情，比如去除脸部周围的多余像素（
CameraCalibrate（相机标定）
- 利用棋盘格对相机进行标定，加入误差判定及像素空间到实际物理空间的距离计算(The camera is calibrated by checkerboard, the error is added and the distance of pixel space to the actual physical space is calculated)
psn
- 图像隐藏和数字水印,采用在空域隐藏,在每个象素的bit位的低位藏入图片(Image hiding and digital watermarking, the use of hidden in the airspace, at each pixel bit a low inside the picture)
thin
- 对灰度图像进行骨架提取，得出骨架走向和骨架像素坐标。(The skeleton of gray image is extracted, and the skeleton direction and skeleton pixel coordinates are obtained.)
5初级图像混合
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是对像素点的一些处理。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly on the pixel some of the processing.)
4遍历图像像素的14种方法
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是遍历像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly traversing the pixel some of the methods.)
2用迭代器访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用迭代器访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access the pixel iterator some of the methods.)
test5
- 修改一个图像的像素值，让修改像素值的点显示线，矩形，圆等图形。(Modify the pixel value of an image so that the point of the pixel value can be displayed, such as lines, rectangles, circles and other figures.)
SLIC
- 超像素分割算法，基于K-means算法，自己写了一个方便优化，非常实用(Super pixel segmentation algorithm, very practical)