daqituanliu

用霍夫曼编码，零树小波算法解码，图像处理过程(huffman encode ，ezw decode)

2d convolution on image

实现bmp图像读入和写出，彩色图像灰度化，直方图均衡化(Implement bmp image read and write, color image graying, histogram equalization)

一个去除斑点噪声的滤波器的，特别适用于医学超声图像(A filter to remove speckle noise , especially for medical ultrasound image )

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.

这个是我自己编写和修改的圆特征检测的程序，能同时求取多个圆的圆心和半径信息。并且文件中有测试图片，直接运行就可以出结果。(The files can detect multi circles in one image at the same time，circle center and R information can be obtained.)

该程序用于嵌入信息位置的选择 可以根据产生的随机序列来嵌入 达到满足信息安全的要求(The procedure used to select the location of embedded information can be generated by random sequence to achieve the embedding of information security to meet the requirements of)

编程实现大津（Otsu）自动灰度阈值分割算法的程序(Programming (Otsu) automatic gray Otsu threshold segmentation algorithm)

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)