Image-SNR

我写的贝叶斯fusion的Visual C+++源码，简明易懂，提供参数说明 可直接使用。 (The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.)

图像压缩标准jpeg的源码。使用的语言为C语言。(Image compression standard JPEG source. The language used for the C language.)

课程设计 几何图形(满分50 分) 版本1：满分10 分 设计抽象类GeometricObject 及其子类Triangle 和Circle。 GeometricObject 类设计要求如下： ■ 一个名为color 的Color 类型的私有数据域，表示对象的颜色。 ■ 一个名为filled 的Boolean 类型的私有数据域，表示对象是否填充颜色。 ■ 一个名为dateCreated 的Date 类型的私有数据域，表示对象的创建日期。 ■ 一个无参构造方法。 ■ 一个能创建特定color 和filled 的有参构造方法。 ■ 相关数据域的访问器和修改器。 ■ 两个个名为draw 和erase 的抽象方法。 ■ 一个名为getArea 的抽象方法。 ■ 一个名为getPerimeter 的抽象方法。 ■ 重写toString 方法。 Triangle 类设计要求如下： ■ 三个名为side1、side2 和 side3 的double 类型的私有数据域表示三角形的三条边。它 们的默认值是1.0。要求三个数据域保留2 位小数。 ■ 一个无参的构造方法创建默认三角形。 ■ 一个能创建带指定side1、side2 和 side3 的有参构造方法。 ■ 所有三个数据域的访问器和修改器方法。 ■ 父类抽象方法的实现。 ■ 重写toString 方法。 Circle 类(Curriculum Design Geometry (out of 50) Version 1: 10 points Design an abstract class and its subclasses GeometricObject Triangle and Circle. GeometricObject class design requirements are as follows: ■ a named color of the Color type private data field that indicates the object s color. ■ a Boolean type called filled private data field that indicates whether the object fill color. ■ Date type named dateCreated private data field, which means that the object was created. ■ a no-argument constructor. ■ one can create a specific color and filled in with arg constructor. ■ Related data field accessor and modifier. ■ two months called draw and erase the abstract methods. ■ an abstract method named getArea. ■ an abstract method named getPerimeter. ■ overridden toString method. Triangle class design requirements are as follows: ■ three named side1, side2 and a double side3 private data field indicates the type of triangle with three sides. It Our default value is 1.0. Requires)

ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used to create the background model, and the foreground is detected by comparing the background model and the current input pixel values)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)

通过邻域搜索法对一个相机拍摄的序列图像中圆形非编码标志点进行匹配(Neighborhood search method by camera on a circular non-coding sequence of images to match landmarks )

矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请 文章中表明出处，感谢。 感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)

图像处理c源码_功能是打开一幅位图_并显示在屏幕上(_ C source image processing function is to open a bitmap _ and displayed on the screen)

对细胞进行分割和追踪的代码，细胞是植物细胞，其中的两篇论文是局部图分割的经典论文，值得一看(To segmentation and tracking code of cells, cells is plant cell, two of the paper is a classic papers of local map segmentation, worth a look)