这是计算机数字图像处理课要求做的作业,将源码上传以供大家参考...

此程序的目的是为了在绘制图形时改变曲线的颜色。-The purpose of this program is for drawing graphics in the color change curve.

边沿检测与提取，轮廓跟踪的图象算法 对着两种算法有着详细解释-Edge detection and extraction, the image contour tracking algorithm into a detailed explanation of the two algorithms

应用三维重构原理对二维平面图形重建成三维图像。-Application of the principle of three-dimensional reconstruction of two-dimensional graphical reconstruction into three-dimensional image.

脆弱及半脆弱水印论文10篇，包括用于图像认证的水印，文本水印，音频水印的论文-Weak and semi-fragile watermarking papers 10, including those for image authentication watermark, text watermarking, audio watermarking papers

这是用VC便携的DCT变换，很好很实用，希望可以为你带来帮助。-This is the DCT-portable with VC, very good very practical, hoping to bring you help.

包括Canny边缘检测算子、罗伯特(Roberts)边缘检测算子、索伯尔(Sobel)边缘检测算子、普瑞维特(Prewitt)边缘检测算子、克瑞斯(Krisch)边缘检测算子和高斯－拉普拉斯(LoG-Laplacian)算子等。-Includes Canny edge detection operator, Robert (Roberts) edge detection operator,索伯尔(Sobel) edge detection operator,普瑞维特(Prewitt) edge detection operator, Chris (Krisch) edge detection operator and Gauss- Laplace (LoG-Laplacian) operator and so on.

本实验室编写的边缘检测代码，并且应用程序已为您创建了 动态链接库EdgeDetection.DLL。-The laboratory prepared edge detection code, and the application has been created for you a dynamic link library EdgeDetection.DLL.

本程序实现全变分(Total Variation, TV)的去噪算法，它使用了PDF纠正TV算法中的小问题。该算法可以很好地保留原图边缘信息的同时，去除噪声。-This procedure Variational realize the whole (Total Variation, TV) denoising algorithm, which uses a PDF corrective TV algorithm of small problems. The algorithm is well positioned to retain the image edge information at the same time, to remove noise.

这是一本经典的工程文档书写教程，提出了金字塔原理，对于书写文档的工程师有极大的意义！-This is a classic document of the works written tutorials proposed pyramid principle, to write documents for the Engineer has a great significance!

generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point.-generates putative matches between previ ously detected feature points in two images by l ooking for points that are maximally correlate d with each other within windows surrounding ea ch point.