gabor

三个程序实现目标检测结果的评估，包括ROC曲线，AP值,Fmeasure的计算。(Three procedures are used to evaluate the results of target detection, including ROC curves, AP values, and Fmeasure calculations.)

利用matlab对已知多对控制点的情况下进行两张图像校正，该算法能够取得较好的结果(Using matlab to correct two images when multiple pairs of control points are known.The algorithm can get good results.)

平常经常用到的一个小程序，两个矩阵相乘的求法(Common often USES a small program, two of the matrix multiplication is also given)

Edge preservation measure Index: Pratt s Figure of Merit

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

说明：  高斯尺度差角点检测算法 将轮廓曲线在不同尺度下的演化差异的变化量作为角点响应函数并提出相应的 DoG 检测算子(Gauss scale difference corner detection algorithm)

在图像中加入椒盐噪声的源代码，编译后的可执行文件须带参数运行(the image Salt and Pepper to the noise source, the compiled executable file parameters required to bring Operation)

文件中含有粒子滤波完整代码以及几种改进粒子滤波算法代码，运行主函数可以分别看到粒子滤波算法和改进后的算法运行效果，适合初学者学习应用(The file contains the complete code of particle filter and several improved particle filter algorithm code, run the main function algorithm performs the particle filter algorithm and the improved see respectively, suitable for beginners to learn to use )

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

说明：  相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)