基于霍夫变换的MATLAB程序代码

说明：  二值化算法，含otsu,niblack,kapur,kittlerMet等方法(Binarization algorithm, including otsu, niblack, kapur, kittlerMet and other methods)

基于仿射变换的图像匹配程序，这是基于mablab的一个主程序(Affine transformation based on the image matching process, which is based on a main mablab)

等效视数表示遥感图像滤波后的滤波效果，这个程序可以计算等效视数。(Equivalent number of said filtering effect, this program can calculate the equivalent number of remote sensing images filtered.)

火灾探测中火焰图像分割方法研究,比较实用。(Fire detection fire image segmentation, more practical.)

画图源程序-图像数据显示，可以对数据进行时间轴的曲线显示，也可以是空间轴的多维显示 (Paint source- the image data, the data can be curve shows the time axis, it can be multi-dimensional display space axis)

各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类(Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering)

求灰度共生矩阵及其各要素用matlab实现(For gray-scale co-occurrence matrix and its elements realize with matlab)

shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)

模糊集图像增强：设计隶属度函数将图像从空间域变换到模糊集域；设计模糊增强算子，在模糊集域对图像进行处理；根据隶属度函数重新将图像从模糊集域变换到空间域。(Fuzzy image enhancement: Designing the membership function of the image from the spatial domain to the fuzzy set domain design fuzzy enhancement operator in fuzzy set domain for image processing membership function according to re-image from the fuzzy set domain to the spatial domain .)

主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)