之前单一的图像去雾的黑暗

matlab sourcecodeforFingerprint(sourcecodeforFingerprint)

基于FCM和水平集的图像分割，以脑颅图像为例，分割结果良好(FCM and the level set based image segmentation to skull image, for example, good segmentation results)

图像的三种分水岭分割方法，一般分水岭分割，使用梯度的两次分水岭分割及使用梯度加掩模的三次分水岭算法(images of the three watershed segmentation method, the general watershed segmentation, gradient of the two watershed segmentation and the use of the gradient increases mask the three watershed algorithm)

在matlab环境下编写的路面激励程序，可改变车速，对应生成相应长度的时间序列，可作为四分之一车的路面激励(In the matlab environment prepared pavement incentive program, you can change the speed, the time sequence of the corresponding length of the corresponding generation, road excitation as a fourth car)

基于Taubin论文方法的最小二乘圆拟合法 (Circle fit by Taubin G. Taubin, "Estimation Of Planar Curves, Surfaces And Nonplanar Space Curves Defined By Implicit Equations, With Applications To Edge And Range Image Segmentation",IEEE Trans. PAMI, Vol. 13, pages 1115-1138, (1991))

1.IMM.m 主要功能： （1）IMM算法的实现； （2）画出目标轨迹与利用IMM算法跟踪目标的轨迹； （3）画出位置误差与速度误差； （4）画出模型混合概率图。 2.Target_track.m 主要功能： 实现目标轨迹的产生。 3.Model_mix.m 主要功能： 实现IMM算法下，各模型的估计融合。 4.Kalman.m 主要功能： 实现模型的条件滤波，以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)

包络分析，用于信号处理。本例举出了一个范例，可以供大家学习参考。(Envelope analysis for signal processing. This example gives an example for everyone to learn from.)

说明：  小波变换提取特征信号用bp神经网络进行故障诊断(Bp neural network is used for fault diagnosis of feature signal extracted by wavelet transform)

Newton Support vector machine

说明：  图像拼接的Harris 算法，精确有效，实现图像无缝拼接，多幅图片显示，谢谢，希望得到采纳(image mosaicHarris algorithm for image mosaic, accurate and effective, seamless image mosaic)