HazeRemoval

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)

像素级融合实现 pca his，brovery加权融合方法，很不错(Pixel level fusion to achieve pca his, brovery weighted fusion method, very good)

医学图像处理方面的一些基础算法，VC环境下编译的一个非常好的程序框架(Medical image processing, some of the basic algorithm, VC compiled under the framework of a very good program)

图像细化处理的C代码，效果较好，对初学者有较好的参考作用(Image processing of C code, the effect is good, is good for beginners reference)

提取SIFT特征，进行特征提取和匹配，包括特征点的定位，特征点描述子的生成，特征点的匹配，(extract SIFT feature，and feature matching)

数​ 字​ 图​ 像​ 处​ 理​ 中​ 的​ b​ p​ m​ 图​ 像​ 读​ 取(Digital image processing of the image b p m reading)

本程序实现功能： 1、微机、IBM工作站segy格式文件的a)变面积、b)波形、c)波形加变面积显示； 2、AGC自动均衡显示； 3、用任意多边形选择剖面数据并提取归一化能量、修改选取数据。 (This program function: 1, microcomputer, IBM workstations segy format file of a) become area, b) waveform, c) waveform and become area shows 2, AGC automatic equilibrium display 3, with arbitrary polygon choose profile and extracted data normalization energy, modify, select data.)

运动目标的给总与识别，可以实时显示目标的运动轨迹，支持高速相机实时处理视频数据，并可以获得运动目标的轮廓矩等信息(Moving target to the total and the identification of moving targets in real-time display track, real-time processing to support high-speed video camera and moving target access to information such as contour moments)

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。(K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.)