Digital-image-processing

毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件(Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files)

图像匹配，可以实现目标图像的匹配，匹配出最相似的训练图片。(Image matching, the matching can achieve the target image, matching the most similar training images.)

重要的纹理分割分类基础程序，可以进行更深入的探讨和优化，应用于遥感影像中。(Important basis for classification of texture segmentation procedure can be carried out more in-depth exploration and optimization, application of remote sensing images.)

bitmap rotate for visual c and c++ builder

关于运动目标检测与跟踪最新的算法 其效果比之前的跟踪算法好很多(The effect of moving target detection and tracking algorithm is much better than before the tracking algorithm)

VC++版的傅里叶变换函数代码，已经调试过了(program for F code)

VC和MATLAB混合编程实现快速傅立叶变换(VC and MATLAB programming Fast Fourier Transform Mixed)

数字图像处理中图像的增强方便的源代码，包括图像灰度修正，图像的平滑，中值滤波，图像的锐化，伪彩色和假彩色的增强等(Digital image processing image enhancement convenient source code, including the gray correction, image smoothing, median filtering, image sharpening, pseudo-color and false color enhancement, etc.)

图像噪声消除，内有很多种消除噪声的方法，比如均值法等。(Image noise reduction, there are many ways to eliminate noise, such as the average method.)

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)