The-Mathematics-of-Medical-Imaging---A-Beginners-

相位编组算法实现纹理边缘的直线检测.用于快速直线提取(Phase Group texture edge detection algorithm to achieve a straight line. For fast line extraction)

说明：  调用 envi5.3自带的FMask云检测功能，并输出掩膜文件(Call the FMash cloud detection function of envi5.3 and output the mask file)

matlab加载一个视屏，转化成每帧图片加以保存。(Matlab loads a video screen and translates it into pictures for each frame to be saved.)

针对于图像复制粘贴篡改检测，对图像数据进行降维处理，并进行块匹配，比较其图像块欧几里得距离(For copy and paste the image tamper detection, image data dimensionality reduction, and block matching, comparing its image block Euclidean distance)

说明：  用jpeg对图像进行编码解码，里面包含界面，以及图片(Using JPEG to encode and decode the image)

正弦波加窄带高斯噪声，其联合概率分布服从瑞利。(Sine wave plus narrowband Gaussian noise, the joint probability distribution subject to Rayleigh.)

分形插值图像放大和图像编码。分形计算,给出了分形计算的matlab程序的源代码,能迅速帮助你进行分形分析和计算,容易设定参数。(Fractal interpolation image magnification and image coding.Fractal calculation, given the fractal calculation of the source code matlab procedures, can quickly help you to carry out the fractal analysis and calculation, easy to set up parameters. )

道路提取，设置初始的点，输入图像，snake 模型(Road extraction, set the initial point, input image, snake model)

基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 (Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field through the define a local contrast operator, and then the convex function to enlarge the strengthening of pixels each neighborhood pixel differences. )

Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.