colorhist

B样条曲线分为近似拟合和插值拟合，所谓近似拟合就是不过特征点，而插值拟合就是通过特征点，但是插值拟合需要经过反算得到控制点再拟合出过特征点的B样条曲线方程。这里会一次介绍两种拟合算法。

RSIHE算法（Recursive sub-image histogram equalization）。基本原理是将图像分割为等面积的2^r部分，各部分分别进行直方图均衡。文件中包含RSIHE的matlab源代码，论文，以及输入图像(RSIHE algorithm (Recursive sub-image histogram equalization). The basic principle is to image segmentation is an area of ​ ​ 2 ^ r part, the various parts of histogram equalization. File contains RSIHE matlab source code, papers, as well as the input image)

说明：  图像处理,matlab文件，利用SURF进行图像拼接，完成图像配准(Image processing, matlab files, image stitching using SURF, image registration completed)

说明：  广义灰度数学形态学滤波，输入信号，结构元素的长度，类型(Generalized gray-scale mathematical morphology filter, the input signal, the length of structural elements, type)

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如未修改，可提取隐藏信息。当有修改发生时，可以定位修改的位置，并在图上标出。标识面积占修改面积的75％，一般修改都能标出(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, if modified, can extract hidden information. When a modification occurs, you can modify the location of positioning and marked maps. Logo area accounted for 75 to amend the area generally can be identified modifications)

对整幅三维影像数据进行Butterworth高通滤波处理（10阶2次），先进行傅里叶变换，利用巴特沃斯高通滤波器数学模型进行变换，在傅里叶逆变换得到新数据(For the entire three-dimensional image data Butterworth high-pass filtering (10-order twice), the first Fourier transform, use Butterworth high-pass filter to transform the mathematical model, the inverse Fourier transform to obtain new data)

毕设内容，高光谱图像基本处理，光纤陀螺输出误差的allan方差分析，实现六自由度运动学逆解算法。( Complete set content, basic hyperspectral image processing, allan FOG output error variance analysis, Six degrees of freedom to achieve inverse kinematics algorithm.)

OCT 成像GPU加速,非常有价值,请参考(S0141 GPU Accelerated Optical Coherence Tomography Imaging)

本代码可以实现图像的维纳滤波，经过调试无错误，对于学习图像处理有较好帮助。(This code can achieve the image filtering, error-free through the debugging, better for learning image processing help.)

本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。(Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information.)