CIE_chromaticity_diagram

说明：  利用97小波变换进行图像压缩，用matlab仿真，实验证明它具有较高的压缩比(using wavelet transform image compression using Matlab simulation experiment to prove that it has a higher compression ratio)

一个自由、开源的图形库--FreeImage3.92最新版的中文参考(支持位图构件―例如调色板和数据位―的便易访问；将位图从一种位深度转换到另一种位深度；当有多幅位图页―例如TIFF―时访问位图的不同页；基本的位图处理，如旋转、翻转（flipping）和重采样，或点操作，如亮度和对比度调整；Alpha混合与合成（Compositing and blending）；FreeImage不支持：高级图象处理操作，如回卷（Convolution）和变换（Transform）；位图绘制； 矢量图形。)(a free, revenue graphics library-- the latest version FreeImage3 .92 reference to the Chinese (support bitmap elements- such as transfer shade and data spaces- the easy access; will be from a bitmap-depth conversion to another kind of depth; When a number of bitmap page- such as TIFF- Bitmap to visit the different pages; basic bitmap processing, such as rotation, Upset (flipping) and resampling, or point operations, such as brightness and contrast adjustments; Alpha mixed with the synthetic (Compositing and blending); FreeImage not support : Advanced image processing operation, If the response (Convolution) and transform (Transform); bitmap rendering; Vector graphics.))

在matlab平台上实现对医学图像人脑部的分割采用c语言编写(In matlab platform to realize human brain medical image segmentation using c language)

实现Hough直线检测，标记直线的两端点坐标，再对相似的直线做曲线拟合，可以完美实现边缘连接。(Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector.)

自己编写的SLIC超像素分割，包括图片，论文(SLIC superpixel algorithm written by myself)

说明：  将hdf格式转换为tif格式、重投影、重采样(.hdf to .tif, resample)

说明：  基于matlab的傅里叶光学仿真教程和光学原理讲解，有很多实用代码(matlab tutorial for fourier optics, containing simulation codes and basic theory)

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

实验目的： 1） 图像水平集合 2） 图像加密算法 3） 边缘提取 4） 噪音图像的产生 （2）显示图像，理解图像的模型 （3）使用图像的不同格式，理解图像压缩的意义 （4）对图像做简单的操作 本次实验需要熟练使用以下几个MATLAB命令： imread, imwrite, imshow,figure (Experimental purposes: 1) the level of collection of image 2) image encryption algorithm 3) Edge 4) noise generated images (2) display images, understanding image model (3) the use of images in different formats, understanding the significance of image compression (4) image to do a simple experiment needs to operate the skilled use of the following MATLAB command: imread, imwrite, imshow, figure)

在matlab环境下对图像进行处理，运用霍夫变换方法得到图像分割的阈值，并进行圆形的检测(In the matlab environment for image processing, using Hough transform method for image segmentation threshold and for the detection of circular)