2-evaluation-and-analysis-of-NSCT

图像质量评价经典算法，ssim算法评价图像质量好坏程度的度量(Image quality assessment of the classical algorithm, SSIM algorithm.A measure of the degree of image quality )

说明：  血管骨架提取文件。冠脉血管树重建冠状动脉造影图像的三维重建是一个复杂的过程 主要包括血管骨架提取与表达、血管段匹配、骨架点匹配、三维骨架重建、表面重建等步骤。(Extraction file of vascular skeleton. Three dimensional reconstruction of coronary angiography image is a complex process, which mainly includes the extraction and expression of vascular skeleton, vascular segment matching, skeleton point matching, 3D skeleton reconstruction, surface reconstruction and so on.)

说明：  matlab绘制，非线性分叉图，非线性动力学(Matlab drawing, nonlinear bifurcation diagram, nonlinear dynamics)

卡尔曼滤波程序,可以运行,用VS编译,不需要解压,谢谢,(Kalman filter program, can run, compiled with VS, no need to decompress, thank you,)

对张正友标定得程序重新详细标注了中文注释，方便初学者尽快入门，在最短的时间内了解程序流程，提高学习效率！(Zhang Zhengyou matlab calibration procedures, in order to facilitate a beginner, a code re-done every detail marked Chinese comments, so that we can understand the flow of the program as soon as possible!)

图像旋转的MATLAB文件，角度可以定义，例子中包含了M源程序以及转换的图片。(MATLAB file image rotation, angle can be defined, for example, contains M as well as the conversion of the image source.)

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片(Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image)

利用小波变换进行图像去噪处理，包括各种软硬阈值的选取函数(Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function)

图像处理系列之边缘检测篇 涵盖内容： 1>Roberts算子 2>Prewitt算子 3>Sobel算子 4>Laplacian算子(Edge Detection)

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. (figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.)