BoundaryTracking

在idl环境下，用最佳指数法对高光谱图像进行波段选择的程序(OIF)

快速双边滤波器，对双边滤波器进行的改进，可以使用，对写论文的同学会有些帮助，可以参考看一下。(Rapid bilateral filter, to the improvement of bilateral filter, can be used, to write a paper of homecoming some help, you can refer to see.)

matlab编写的截断半径45时，低通滤波器对与图像的影响，画图比较滤波前后的对比图。(matlab truncation radius of the preparation of 45, the low-pass filter and image of the effect of drawing the contrast to compare before and after filtering Fig.)

SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)

说明：  基础SAD算法代码，最基本的图像匹配处理方法，也是最常用的基本法，有助于新手理解(Basic sad algorithm code)

提出了一种基于MAP的Markov随机场的图像融合方法(This paper proposes a method of Markov random field to classify the remote sensing images based on the maxi- mum a posteriori model)

说明：  研究生期间做的unscented kalman 滤波程序，带测试例子，vc6编译(Graduate students during the unscented kalman filtering process, with the test example, vc6 compiler)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)

多基线干涉合成孔径雷达干涉条纹的获取，通过两幅单视复图像进行配准，获取干涉相位(Multi-baseline interferometric synthetic aperture radar interferometry fringes of the acquisition, through two single look complex image registration, access to intervention phase)

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)