ellipse_fit

自编语谱图函数，可实现基本的spectrogram功能(Self compiled spectral function, which can implement basic spectrogram functions)

数字图像处理中的编码技术。本程序对输入的图像进行哈夫曼huffman编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。本程序使用C++混合编程，已经编译生成了Matlab库文件，无需再与C++链接。程序包括源程序和源图像，以及编码后的结果图像。(Encoding digital image processing technology. The procedure of the input image Huffman huffman coding to show the original image entropy, encoded average code length, and be able to reconstruct the image according to encoding. The program uses C++ mixed programming, has compiled a Matlab library files generated, do not need to link with C++. Programs include source code and source images, and encoding the results of the image.)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

EM算法的图分割,基于GMM模型改进的快速EM算法，为m文件(EM algorithm image segmentation)

天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。(Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c language for image graying, binarization, edge detection is one. C file that can be run with vc6.0 can also be run directly on a DSP, also contains a detailed design report.)

说明：  光学成像过程实例，包含傅里叶变换，滤波处理等(Examples of optical imaging process, including Fourier transform, filter processing, etc)

YUV420p图像的融合渲染，支持任意位置的融合，并支持alpha的渲染(Fusion YUV420p image rendering, support converged anywhere and supports alpha rendering)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

说明：  mean shift 算法用于目标跟踪,其中有4个文件.(mean shift algorithm for target tracking, including four documents.)

说明：  利用matlab提取图片像素点的RGB值(Using MATLAB to extract RGB value of image pixels)