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运用边缘检测算子，采用不同结构元素并结合形态学对边缘图像进行边缘检测。(Using edge detection operator, and combine elements of different morphological structures on the edge of the image edge detection.)

该程序主要实现图像的无损压缩，具体算法包括： （1）整数小波变换＋SPIHT无损压缩 其中整数小波可以采用JPEG2000提供的5－3小波，也可以采用S＋P变换，本程序均已给出。 （2）DPCM＋算术编码 DPCM采用的是JPEG中采用的方法； （3）JPEG－LS标准 JPEG－LS的无损压缩性能非常好，超过JPEG2000。(The program mainly realize lossless image compression, the specific algorithm include: (1) integer wavelet transform SPIHT Integer Wavelet lossless compression which can be used to provide the 5-3 wavelet JPEG2000, can also adopt the S P transform, the procedures are given. (2) DPCM arithmetic coding DPCM is used in JPEG methodology (3) JPEG-LS standard JPEG-LS lossless compression of very good performance, more than JPEG2000.)

一个ICA 源代码,非常完整，希望对大家有帮助(fast ICA)

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

Keren 配准的MATLAB源程序，可以进行图像配准及超分辨率运算(Keren registration of the MATLAB source code)

连续投影算法选出最优波段，一般是选出光谱图形的最优波段(Successive projection algorithm chooses the optimal band, typically selected spectral graph of the optimal band)

根据图像色彩信息，寻找图像的质心，以便对目标的跟踪(The image color information, look for the image of the center of mass to the target track)

关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）(This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set))

实现了对10个数字音的识别，是学习PCA特征提取的很好的学习资料，包括调制，解调，信噪比计算。( To achieve the recognition of 10 digital sound, Is a good learning materials to learn PCA feature extraction, Includes the modulation, demodulation, signal to noise ratio calculation.)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)