PLSA

超声图像处理软件dream，开源代码，用于仿真超声图像(Ultrasound image processing software dream, open-source code for the simulation of ultrasound images)

用MATLAB读取一幅图像，并且计算其图像信噪比(Using MATLAB to read an image and calculate the image SNR)

C# 浏览大图片 例子源码

图像基础处理——透视矫正的程序代码，把图像还原(Image basic processing- perspective correction code to restore image)

DISKREET: FOR CHANGING DISKREET LEVEL OF AN IMAGE

说明：  MATLAB中cell转换为csv，用matlab语言实现(MATLAB cell to csv,matlab)

时空域下的信息隐藏技术，LSB ,MSB以及二值图像中的信息隐藏(When the airspace under the information hiding technology, LSB, MSB, as well as binary images of Information Hiding)

实现图像融合的一些基本代码 实现了梯度金字塔拉普拉斯金字塔算法的图像融合 (matlab This procedure based on the implementation of the FSD pyramid image fusion algorithm, the effect was not bad, you can reference.)

说明：  基础图像处理语言，RGB各图层提取，量化图像，lena典型案例代码。(Basic image processing language, RGB layer extraction, quantization image, Lena typical case code.)

绣花问题是连续型的填充，在不同区域的缝制过程中，缝针不能提针，因此不能用一般的离散型区 域填充方法处理。本文运用几何计算和图论理论提出了一个绣花缝针轨迹自动生成算法：先对轮廓走向进行 定义，通过轮廓铅垂方向的局部极值点的分割线将图案从上向下进行分割，采用交点的特征值比较彻底的解 决了分割时的重点问题，将图案区域准确的划分成缝针能一次完成的若干个节点。在此基础上根据节点的邻 接关系建立节点的邻接“图”，通过图论中半哈密尔顿路径或深度遍历方法找到节点的遍历（缝制）序列和每 个节点的缝制方向，最后可对设定的起点、终点和缝针间隔的条件自动提供缝针的走向轨迹。(In the process of embroidering, needle can not hang up for changing to a different area. Therefore, Embroider problem could be abstract as a continuous area-filling work. Considering disperse area-filling methods can not process this problem well. Based on geometry computing and graph theory, an algorithm of finding path of embroidering needle are proposed in this paper. First, outline orientations are defined, and finding all local extreme points of inner outline on their gravitational orientation to build sectioning lines so as to divide the picture. By using intersection point character the overlap point problem was solved perfectly. Therefore, the picture is divided into some nodes which can be finished alone. Then, based on connections of these nodes, an adjacency graph of nodes was built. Using half-Hamilton path or depth-first search method, both embroidering sequence and direction of these nodes could be got from the graph. Finally, from a defined start-point, end-point)