matlab_finger

一个车牌定位方法，包括图像的灰度化，二值化，数学形态学的处理，滤波等(A license plate location methods, including gray-scale images, the binarization, mathematical morphology processing, filtering, etc.)

基于改进的F-S error diffusion算法对彩色图像位数降为8色。其中分配系数采用动态系数(Based on the F-S error diffusion algorithm to improve the color image figures down to 8 colors. The distribution coefficient by using the dynamic coefficient)

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)

有关于求取图像平均梯度的matlab M 文件；可以为你省去那么一点时间。 ———共享改变未来！———(To strike the image on the average gradient matlab M documents can save you a bit of time.--- Shared change the future!---)

matlab实现人眼精确定位 实现效果良好(Accurate eye location by MATLAB)

说明：  二自由度车辆动力学模型(Simulink)(Two-degree-of-freedom vehicle dynamics model)

遥感图像分类工具箱，包含多种基于支持向量机分类器的主动学习算法(active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.)

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)

说明：  level set方法中的经典模型cv模型的matlab的源程序 (level set method of classical model cv model of the source Matlab)

利用MATLAB实现图像处理，实现图像背景分离。(Using MATLAB to realize image processing)