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main.cpp
- opencv车牌识别 可以在光线条件不佳的情况下识别出车牌位置-opencv license plate recognition can identify the license plate location in the case of poor lighting conditions
tuxiang2
- 图像去雾处理程序-In recent years, with digital video monitoring technology is more widely used in the field of public safety, transportation and other requirements of the applicability of the monitoring system also rise. In order to monitor the system still
camshift
- 基于camshift的目标跟踪源代码，了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的。- 英语 中文(简体) 日语 Based on the target tracking camshift source code, has been able to better address the dynamic model of nonlinear non-Gaussian and t
face_forest
- 利用条件回归森林算法实现的实时人脸检测源码-Use conditions return to the forest algorithm to achieve real-time face detection source code
motiondetect
- opencv环境下实现对视频中运动目标的识别与跟踪，内含视频为某时段某市区交通情况-opencv environment to achieve the video moving target identification and tracking, embedded video for a certain period of urban traffic conditions
log
- 对图像进行对数变换，改善图像质量，可以改善一定的曝光不足的状况-Logarithmic transformation of the image to improve the image quality can be improved in certain conditions underexposed
opencv
- 数字图像处理作业：相同条件下拍到的棋盘图和日历钟表图 相同条件下拍到的棋盘图和日历钟表图， 尝试建立 尝试建立几何畸变关系， 并对它们进行恢复- Digital image processing homework4: under the same conditions to take pictures of the checkerboard pattern and calendar clock diagram under the same conditions to take picture
meanshift
- 一般是指一个迭代的步骤，即先算出当前点的偏移均值，然后以此为新的起始点，继续移动，直到满足一定的结束条件。-Generally refers to an iterative step, which is to offset the calculated mean of the current point, and then as a new starting point, continue to move until the end of the meet certain conditions.
Inpaint
- The precise terms and conditions for copying, distribution and modification follow
MeanShift
- MeanShift算法是一种无参概率密度估计法，算法利用像素特征点概率密度函数的梯度推导而得， MeanShift算法通过迭代运算收敛于概率密度函数的局部最大值，实现目标定位和跟踪，也能对可变形状目标实时跟踪，对目标的变形，旋转等运动也有较强的鲁棒性。MeanShift算法是一种自动迭代跟踪算法，由 MeanShift补偿向量不断沿着密度函数的梯度方向移动。在一定条件下，MeanShift算法能收敛到局部最优点，从而实现对运动体准确地定位。-MeanShift algorithm is a no
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（
Xhq-MUR
- 二维TE波的FDTD的实现,采用MUR吸收边界条件,不错的(The realization of the 2-d TE wave of FDTD, USES the MUR absorbing boundary conditions, good)
MeanShift
- meanShift,均值漂移，在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。一般是指一个迭代的步骤，即先算出当前点的偏移均值，然后以此为新的起始点，继续移动，直到满足一定的结束条件。(MeanShift, mean shift is widely used in clustering, image smoothing, segmentation, tracking and so on. Generally refers to an iterative step, that is, first
基于opencv的交通标志识别
- 基于opencv的交通标志识别，主要运用轮廓识别和模板匹配。适用于简单自然条件下的识别(Opencv based traffic sign recognition mainly uses contour recognition and template matching. Identification for simple natural conditions)
SURF
- OpenCV provides SURF functionalities just like SIFT. You initiate a SURF object with some optional conditions like 64/128-dim descr iptors, Upright/Normal SURF etc. All the details are well explained in docs.
PIXEL
- 灰度变换是指根据某种目标条件按一定变换关系逐点改变源图像中每一个像素灰度值的方法。目的是为了改善画质，使图像的显示效果更加清晰。 图像的灰度变换处理是图像增强处理技术中的一种非常基础、直接的空间域图像处理方法，也是图像数字化软件和图像显示软件的一个重要组成部分。提取像素进行变化(Grayscale transformation is a method of changing the gray value of each pixel in a source image according to c