ColorSpace

运动状态的singer模型，用于描述模型的状态方程和观测方程。(singer model for dynamic states, used to describe state function and measurement function.)

说明：  对原始图像进行阈值分割，把金属图像分割出来，抠掉金属的图像(Threshold segmentation is applied to the original image, and the metal image is segmented to remove the metal image)

使用IDL实现对ENVI所支持的影像文件格式的数据拼接，不用打开栅格，从而避免内存消耗过大(IDL data stitching ENVI image file formats supported, do not open the grid, in order to avoid memory consumption is too large)

几种图像分割的程序,主要包括（1）击中与击不中（2）骨架与细化（3）使用顶帽变换（4）使用重构删除复杂图片的背景（5）重构(some program of image segment)

直方图均衡化的实现，RGB直方图均衡化，直方图归一化。(Histogram equalization to achieve, RGB histogram equalization, histogram normalization.)

作为信息隐藏的重要分支，数字水印是一种有效的数字产品版权保护和数据安全维护技术。近年来数字水印技术成为了信息安全领域的研究热点，也得到了较大的发展。基于变换域的水印技术是目前研究的热点和重点。本文系统介绍了数字水印的原理和应用方法，概要介绍了数字水印的几种主流算法，并重点研究了一种基于离散余弦变换(DCT)数字图像水印算法，并借助 MATLAB编程工具，实现数字水印的嵌入和提取仿真，以及为测试鲁棒性而对水印图像进行攻击实验。(As an important branch of information hiding, digital watermarking is an effective copyright protection of digital products and data security maintenance technology. In recent years, digital watermarking has become a hot research field of information security, has also been considerable development. Transform domain watermarking technique based on the current research focus and focus. This system describes the principles and applications of digital watermarking methods, an overview of several mainstream digital watermarking algorithms, and focus on a discrete cosine transform (DCT) digital image watermarking, and with the MATLAB programming tools, digital watermark embedding and extraction simulation, as well as test the robustness of the watermark image on the attack experiments.)

说明：  摄像头条形码识别，可以发送命令识别后，展示识别码质量(ShopSavvy Barcode Scanner)

基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例(K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case)

说明：  运用OMP、BP、StOMP及MP算法对lena图像进行重构。(Use OMP, BP, StOMP and MP algorithms to reconstruct the lena image.)

基于对尺度的MSR算法的医学图像增强算法。 调试可以通过 对于低对比度的医学图像有很好的效果！(scale based on the MSR algorithm of medical image enhancement algorithms. Debugging through the low-contrast image has good results!)