manyPic

基于改进的F-S error diffusion算法对彩色图像位数降为8色。其中分配系数采用动态系数(Based on the F-S error diffusion algorithm to improve the color image figures down to 8 colors. The distribution coefficient by using the dynamic coefficient)

说明：  滤除各种噪声比较，高斯噪声，NLM滤波，双边滤波。(Comparison of filtering out various noises)

通过Matlab实现维纳滤波及逆滤波复原图像 不使用matlab自带函数 而是自编程序实现(Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program)

细胞图形处理，检测细胞的边缘跟踪，用于计算周长(Graphics processing cells to detect the edge of cell tracking, used to calculate the perimeter)

说明：  计算ssim值的程序，这个程序是用python语言编写的(Calculate the SSIM value of the program, this program is written in Python language.)

运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)

说明：  非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。(Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a variety of function curve respectively, the generation, multiple function curve and display the extremum, generated binary image edge tracing, binary image histogram morphology processing, according to the choice threshold, gray transformation, average filtering, particle image analysis, image edge detection, sine curve generation, histogram equalization, histogram display, median filtering, automatic computing threshold.)

极化SAR图像Four component 目标分解结果，使用数据为Flevoland地区部分数据，可用于极化SAR图像分类(Four component decomposition result of PolSAR image, the used dataset is the subarea of Flevoland region, it can be used as the classification features for PolSAR image classification.)

说明：  一个简单的画图程序，提供基本图元点、线、面，图元填充、裁剪的操作(Simple Draw)