edgelinking_shengzhang

代码实现2014ICML文章Motion blur kernel estimation via salient edges and low rank prior，基于显著边缘和低秩先验的运动模糊核估计。(The code implementation of Motion blur kernel estimation via salient edges and low rank prior)

GS算法，高斯光束整形成矩形光斑，或者根据自制的图片进行逆推相位(GS algorithm, Gaussian beam shaping)

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)

几个将图像分块，将分块图像拼接，和裁减图像的实用小程序(several image block to block image mosaic, and the reduction of small images of practical procedures)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

A Drawable that manages an array of other Drawables. These are drawn in array order, so the element with the largest index will be drawn on top.

一篇基于Expected Patch Log Likelihood的图像去噪文章及其实现(One based on Expected Patch Log Likelihood Denoising article and its realization)

基于GA和MP的信号稀疏分解,算法速度比元来的有很多改进。(Based on GA and MP sparse signal decomposition, the algorithm faster than the yuan to have many improvements.)

C# 给图片添加水印 图片类型转换 例子

画图源程序-图像数据显示，可以对数据进行时间轴的曲线显示，也可以是空间轴的多维显示 (Paint source- the image data, the data can be curve shows the time axis, it can be multi-dimensional display space axis)