quaternion

灰度变换元代码，用于matlab7.0以上版本(Picture Process)

图像处理中的边缘检测以及曲线拟合的结合应用，实现边缘连接和线段拟合源码(image processing edge detection and curve fitting combination of applications, connectivity and edge line fitting FOSS)

细胞图形处理，检测细胞的边缘跟踪，用于计算周长(Graphics processing cells to detect the edge of cell tracking, used to calculate the perimeter)

对圆周运动转换到极坐标系，进行卡尔曼滤波(Conversion of circular motion to the polar coordinate system, the Kalman filter)

说明：  基于暗通道先验的但图像去雾,暗通道先验就是基于这样一个假设：在绝大多数非天空的局部区域里，某一些像素总会有至少一个颜色通道具有很低的值。(Single Image Haze Removal Using Dark Channel Prior.)

dib图像的读取，显示以及存储，能够运行(dib image read, display, and storage, and be able to run)

mean shift图像分割软件,只能对灰度图像进行处理,如果对彩色图像进行处理,需要转换(mean shift image segmentation software, only for grayscale image processing, if the right color image processing, needs to be converted)

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

说明：  一种自适应的图像去噪方法，MATLAB实现(An adaptive image denoising method, matlab implementation)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)