图像空域增强处理

VC++图像处理程序设计(杨淑莹)第四章_灰度变换源码(VC++ image processing program design (Yang Shuying) Chapter _ gray transform source)

混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)

自己整理的经典边缘检测算子matlab源程序 图像处理必备 1、canny算子 2、kirsch算子 3、laplacian算子 4、log算子 5、prewitt算子 6、robert算子 7、robinson算子 8、sobel算子(Own finishing classical edge detection operator matlab source image processing necessary 1, canny operator, kirsch operator, Laplacian operator, and the log operator Operators 6 prewitt, robert. Operator, robinson operator 8, sobel operator)

说明：  性能上比经典分水岭有很大的提高。特别对于自然图像的分割，效果特别好。(Performance than the classical watershed have greatly improved. Especially for natural image segmentation, the effect particularly good.)

Multi-Scale Structural Similarity Index (MS-SSIM). Download here. Please cite the following paper in any published work if you use this software. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, Nov. 2003.

先检测出椭圆，然后对椭圆进行椭圆拟合，画椭圆。(First detected in an oval, and then carried out on the elliptical ellipse fitting, painted oval.)

图像拼接，用于实现多种格式，批处理遥感数据(Image mosaic, used to implement a variety of formats, batch processing of remote sensing data)

用C语言实现位图格式的图像读取功能，可直接使用。(read BMP by C ,can be used directly.)

合成孔径雷达（SAR）的距离多普勒成像算法（点目标）(Synthetic aperture radar (SAR) of Range-Doppler imaging algorithm (point target))

分形算法中的分形维数的源代码(Fractal dimension)