tif2raw

：近距离目标超高分辨率微波成像技术在安全检测、非破坏性控制、生物医学等领域中有着非常重要的应用 价值和广阔的应用前景。该文利用基于窄脉冲形式的超宽带时域雷达系统研究近距离目标的高分辨率ISAR成像， 给出了仿真和实测结果。利用转台旋转目标，基于超宽带脉冲源和超宽带收发天线以及高性能取样示波器，配以同 步触发脉冲和自行研发的数据采集软件，搭建了该时域雷达实验系统，提出了准确获取目标回波信息的实验条件， 和实现回波延时精确校正的误差补偿方法。并针对采样时间窗内的杂波干扰，讨论了时域后向投影算法(Back Projection，BP)与背景对消技术相结合的成像算法，实现了分辨率为 8 mm 的近距离目标的成像，准确地反映了 目标的位置、形状和大小等信息。( The high resolution imaging of near field targets are interesting for security, non-destructive control and biomedical application. In this paper, high resolution near field ISAR imaging is implemented using Ultra Wide Band (UWB) time domain radar system. Simulation and experiment are both conducted. The target is rotated by turntable. The system is built based on the UWB pulse source, UWB antennas, high performance sampling oscillograph, synchronous trigger pulse and proper motion study data acquisition software. Experiment condition and delay errors compensation method are presented to obtain accurate echo information of the target. And Back Projection (BP) combined with background cancel algorithm is discussed considering the clutter interference in time window. )

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)

C语言下实现SIFT算法 用于图像特征匹配(C-achieve SIFT algorithm for image feature matching)

说明：  此源码可对图像进行Ncut分割，并且集成了特征提取和SVM分类的功能。(This source can be Ncut image segmentation, and integrates the feature extraction and SVM classification function.)

耦合发电机系统的自适应控制与同步以及变形耦合发电机系统中的混沌控制(Coupled generator system of adaptive control coupled with the synchronous generator system, as well as deformation of chaos control)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)

中值滤波在图像处理中占据很重要的地位，本代码是加权中值滤波处理源码。希望对大家有用。(Median filter in image processing occupies a very important position, the code is weighted median filter processing source. Hope to be useful.)

该算法实现车牌快速自动识别,建立了车牌字符库和车牌图象,可以直接运行(The algorithm quickly realize automatic license plate recognition, license plate character set up libraries and license plate images can be directly run)

提取图像的局部二值特征；广泛用于纹理特征提取 具有旋转不变性(Extract local two value features of images; widely used in texture feature extraction. Rotation invariance)

用形态学方法和区域增长法进行MRI脑肿瘤图像分割(By morphology and region growing method for MRI brain tumor segmentation)