多阈值分割

说明：  用matlab实现的insar处理软件。(Using matlab to achieve the InSAR processing software.)

用霍夫曼编码，零树小波算法解码，图像处理过程(huffman encode ，ezw decode)

该程序主要是对一幅图像进行动漫风格化 总体上，把照片变成动漫化风格分以下几步： （1）膨胀图片让其亮暗分明 （2）区域平滑 （3）增强锐化，以突出显示边缘线条。(The program is mainly a cartoon style animation style On the whole, take the photo into the animation style and divide the following steps. (1) the expansive picture makes it bright and dark (2) regional smoothness (3) sharpening to highlight the edge lines.)

包括harris经典算法、harris-Laplace算法，以及susan算法，鲁棒性好(Harris, including the classic algorithm, harris-Laplace algorithm, as well as susan algorithm, better robustness)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

说明：  图像处理软件含帮助。毕业设计，旋转，线性变换，灰化，平滑，滤镜，反相等，功能全面！(image processing software with help. Graduation design, rotary, linear transformation, ash, smooth, filter, anti-equal, full functions!)

查询车辆油耗信息,根据车号,司机,日期等(Query the vehicle fuel consumption information)

均值便宜跟踪的示例，预报误差法参数辨识-松弛的思想，用于信号特征提取、信号消噪。( Example tracking mean cheap, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature extraction, signal de-noising.)

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)

说明：  本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收 敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值. (This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference.)