kalmanfilter(1)

对图像进行转换，RGB转HSV、HSV转RGB以及色调偏移(Image conversion, RGB to HSV, HSV to RGB and hue offset)

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)

毕业论文参考，内含代码，基于小波变换的图像去噪算法(Image denoising based on wavelet transform, the graduation design code, matlab code)

实现对图像平滑模糊，有简单平滑、高斯模糊和中值滤波三种可选，基于OPenCV类库实现，代码可直接运行(Achieve a smooth blur the image, a simple smooth, Gaussian blur and median filtering three options, OPenCV-based library, the code can be run directly)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

说明：  雷达发射波形。回波的模拟，以及匹配滤波。加窗控制旁瓣，以及MTD处理(Radar transmitting waveform. Echo simulation and matched filtering. Windowing control sidelobe and MTD processing)

计算机视觉中得八点算法，采用SVD分解最小二乘解来求基本矩阵，这是模拟仿真实验程序。(Was 8:00 in computer vision algorithms, using SVD decomposition least-squares solution to seek the fundamental matrix, which is simulation, experimental procedure.)

说明：  不管对于图像的编码还是解码，三次样条算法的性能都是很好的，然后由于计算量比较大使他的效率有所下降，在次提出了一个考虑算法质量的前提下的快速算法。(regardless of the coding for images or decoding, cubic spline algorithm performance are good, and then because of the comparison calculation of the efficiency Ambassador he declined, in a meeting of the algorithm to consider the quality of the fast algorithm.)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

Onvif设备搜索 示例源码