lightcompension

代码中包含在MATLAB中实现DICOM文件的VOILUT感兴趣区域转换。将DICOM文件的数据重新存储为PNG格式的灰度图像。打开一个文件夹的DICOM文件并将其存储在另一个文件夹中以PNG格式储存。(Included in the MATLAB code to implement DICOM files VOILUT region of interest conversion. The data will be re-stored DICOM files in PNG format, grayscale images. Open a folder and stored in the DICOM files to another folder in PNG format.)

otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面面配有图像均衡化的程序一起使用，效果更好， (otsu algorithm adaptive obtain the threshold image binarization. Inside surface with image equalization program used together, the better)

用于轴承球与滚道之间，模拟生成非高斯随机粗擦表面(Analog generate non-Gaussian random rough surfaces rub)

说明：  提出了一种基于数学形态学的多尺度熵权边缘检测方法。信息熵为图像的内在特性，由它来决定不同结构元 素所提取的边缘在最终合成边缘中所占的比重，是自适应的和客观的(A multi-scale based on mathematical morphology edge detection method of entropy. Information entropy inherent characteristics of the image, from which different structural elements to determine the edge of the extracted edge in the final synthesis of proportion, is adaptive and objective)

matlab生成的fig图纸转换为DXF文件(Converting fig drawings generated by MATLAB into DXF files)

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.)

本程序是利用MATLAB读取YUV视频数据，并播放视频。(This procedure is to use MATLAB to read YUV video data, and video.)

完成声音信号的分帧，加窗，PLCC特征提取等功能(Complete voice framing, windowing,PLCC detection and other functions)

说明：  hdr图片合成，四幅不同曝光的图片合成一张hdr图片(HDR picture synthesis, four pictures of different exposures synthesize an HDR picture)

说明：  读图然后根据图像的对象，进行边缘检测，椭圆拟合(Read the image and then carry out edge detection and ellipse fitting according to the object of the image)