一个基于内容的图像检索工具，谢谢使用！ 希望大家能够交流。

简单图像算法。支持读取多种图片格式，支持灰度图计算，多种二值化算法（基于熵的自动阀值，自动双阀值二值化），支持图像多种卷积计算（高斯滤波，轮廓提取）-simple algorithm. Photo support multiple read format, the gray level support, a variety of binary algorithm (based on the entropy of the automatic threshold. automatic dual threshold value of two) to support a variety of image deconvolution calculation (Gaussian filtering, contour extraction)

YUV播放器扩展，可以进行黑白和彩色YUV视频格式的播放和单帧查看等功能，很好用，欢迎下载！-YUV player expansion can be black-and-white and color video YUV format of broadcast and single-frame View, and other functions, is useful, welcome to download!

本程序实现了Gabor滤波器的三维显示并对一幅图像通过频域卷积实现了1个尺度6个方向的Gabor滤波显示-This procedure achieved a Gabor filter and a three-dimensional display image through frequency-domain convolution achieved a scale 6 shows the direction of the Gabor filtering

遗传算法的图象分割matlab程序,能得到运行结果，很有参考价值 -Genetic algorithm matlab image segmentation procedures, the results can be very useful

本目录存放的是第2章文档的程序源代码，子目录说明： wvltlib 中存放的一些基本的小波基定义和相关库函数； wvltwrefine 中存放的是小波基细化的程序代码； wvltwxfrm 中存放的是一维小波变换的数学实现-Catalog store is the first of the two chapters of the document source code, subdirectories : wvlt lib stored in the basic definition of small Porgy and related library functions; wvlt wrefine stored in the small Porgy sophisticated code; wvlt wxfrm is stored in the wavelet transform one-dimensional mathematical achievement

c#在图像处理的方面的源程序：图像的高斯平滑。-c# deal with aspects of the image source: Image of the Gaussian smoothing.

一个完整的VC++小波变换算法 简单易懂 图形化界面-A complete VC++ Wavelet transform algorithm is simple and easy to understand graphical interface

里面是各种图像处理的算法，包括边缘算法等-There is a variety of image processing algorithms, including algorithms such as edge

matlab 边界跟踪程序，图像要求为二值图像，输出为边界的点的坐标。-matlab boundary tracking procedure, the image requested for the binary image, the output for the coordinates of border points.

相机中都需要进行伽马校正，本实验中通过程序caculate_curve.m读入图片0中的灰度值，通过计算得到伽马变换的伽马系数，然后利用伽马系数进行反变换。-Both the need for gamma camera calibration, the experimental procedure caculate_curve.m read into the picture through the gray value of 0, obtained by calculating the gamma-gamma transform coefficients, then use the gamma coefficient inverse transform.