资源列表
vif
- 应用视觉保真度（ＶＩＦ）的方法对图像增强方法的优劣做客观的评价。从而达到用客观的评价方法评价一种增强方法的优劣性。-The application of visual fidelity (VIF) to do an objective evaluation of the pros and cons of the image enhancement method. So as to achieve an enhanced method of objective evaluation methods
Metropolis
- 实现蒙特卡罗方法模拟无外场下的lsing模型, 图像是m和t_mcs的关系图, 在data.txt中输出-This program stimulates lsing model with Montel Carlo method. And the result is drawn with m and t_mcs. Main data is in data.txt
souce-code
- 数字图像处理与机器视觉(光盘),共13章源代码-Digital image processing and machine vision code
HoughTrans
- hough变换检测直线，改进过可以用来检测直线和坐标之间的角度，用来检测指针式仪表的值。-an inptoed hough transform for line segments detection
particle-count
- 读取图像，转化为二值，去除毛刺噪点像素，去除孤立的前景像素，膨胀，对颗粒进行计数-particle count，
superpixels
- 采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。-Code to compute superpixels. use cncut and superpixel code for segmentation. Mex program c and matlab
Sobel
- 本算法是在经典Sobel算子基础上,结合汽车本身的实际情况,增加了6个方向模板,同时利用基于L2 范数的各同性扩散去噪模型消除噪声,最终得出汽车轮廓图。仿真结果表明:该算法对汽车图像的噪声干扰 有较强的抑制能力,汽车轮廓提取定位更准,精度更高,图像更清晰。-This algorithm is the classical Sobel operator on the basis of the actual situation with the car itself, an increase
matlab
- 检测图片噪声并去除，使得原图像更加清晰，最简单的图像去噪处理方法-Detect picture noise and remove
findedge
- 边缘检测是图像处理中的基本问题，使用数学方法提取图像像元中具有亮度值。其目的就是标识出数字图像中亮度变化明显的点。 -Edge detection is the image processing in the basic problem, the use of mathematical methods for extracting image pixel has a brightness value. Its purpose is to identify the digital image
Bezier_Curve_Plotter
- B样条曲线的绘制，可以在很大程度上提高学习者去B样条曲线的认识-B spline curve, can greatly improve the learner to B spline curve understanding
ReduceGraylevel
- Matlab进行图像处理，改变图像灰阶输出-Reduce Graylevel with Matlab
levelsetofc-v4
- 水平集的cv模型方法实现图像的分割， 程序准确度较高但是效率有待增强-levelset method of CV model to realise segmentation