RGB2HSI

说明：  一维信号的小波分解，然后进行保留模极大系数重构，图像小波去噪(Wavelet decomposition)

图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好(Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better)

bode图，可以实现如何绘制bode图的过程和详细步骤。(Bode figure, can realize how to draw the process and detailed bode figure steps )

图像拼接，这是个图像拼接，还能说什么呢我的天是不是傻要字数限制(image fusion i have to think something to explain how to congraduation this website)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

自己编写的字幕提取代码，matlab简单易用(Caption extraction)

自适应中值滤波器的代码，最大9窗口和3*3标准中值滤波窗口结果对比(The adaptive median filter code, up to nine 3* 3 window, and the result of comparison of the value of the standard filter window)

说明：  行为识别3D卷积神经网络,ucf或者KTH数据集都可以使用(3DCNN for action recognition)

本程序是基于Matlab的米粒图像的分割、计数以及周长、面积、形状因子等参数的计算。图像分割是基于腐蚀膨胀算法，选用边界跟踪法计算周长，程序代码清晰明了，对于参数的计算速度较快，且参数计算精度较高。(This procedure is based on the Matlab image segmentation grain of rice, counting and perimeter, area, shape factor and other parameters of the calculation. Image segmentation is based on the corrosion expansion algorithm, the choice of boundary tracking method perimeter, code clarity, the parameter calculation is faster and higher precision parameters.)

Library for Otsu Method in image segmentation