Texture_Segmentation_Diffusion_Feature_Space

人脸图像质量评价体系介绍，非常全面，此方面研究的不错入门资料(Face image quality assessment system introduced, very comprehensive study in this regard a good introductory information)

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全及包含噪声的测量中，估计动态系统的状态。(Calman filtering is an efficient recursive filter (autoregressive filter). It can estimate the state of dynamic system from a series of incomplete and noisy measurements.)

运用光谱角法进行岩性填图的matlab代码(Matlab code for lithology mapping using spectral angle method)

全变分程序，可以用来处理一维的信号去噪问题！！！！！(total variation)

说明：  多种图像去雾算法（何晓明暗通道去雾，基于中值滤波去雾，基于均值滤波去雾，基于导向滤波去雾，多色彩空间去雾）(A variety of image defogging algorithm (Xiaoming dark passage to fog, based on median filter to fog, defogging based on mean filter, filter-based guide to the fog, multi-color space to fog))

说明：  对指纹进行识别，通过gabor进行指纹增强，然后细化得到结果(Fingerprints were identified and enhanced with gabor, and the results were refined)

说明：  张正友相机参数标定matlab程序，压缩包中包括一份张正友标定的原文论文，一个附带实验数据和图像的matlab程序。(Zhang Zhengyou matlab camera calibration procedures, compressed package includes a calibration Zhang Zhengyou original papers, 1 with experimental data and image matlab program.)

图像处理（图像融合，图像加密等）的性能评价指标集包括：平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。(Image processing，average gradient, edge strength, information entropy, gray mean, standard deviation (variance (MSE), are root mean square error, peak signal to noise ratio (PSNR), spatial frequency (SF), the sharpness of the image, the mutual information (MI), similar to the structure of (SSIM) and cross entropy (cross entropy). The relative standard deviation)

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.

用C语言解决TSP问题的源程序是我大二选修数学建模课,课程结束后做大作业也就是选择一个题目,解决一个问题,我选择的是TSP()