Zernike

用c语言编写的数字图像处理程序，图像读取，图像增强，图像复原，傅里叶变换，离散余弦变换都有(With the c language digital image processing, image scanning, image enhancement, image restoration, Fourier transform, discrete cosine transform has)

说明：  程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (some imageprocessing sourcecode)

最近编写了一些极对数坐标转换的程序，这是最初编写的那个，希望对你们有用(Here is a log-polar image transform code.)

二维线性判别 功能比较强 二维线性判别 功能比较强(Img = imread( twoObj.bmp ) )

单尺度Retinex算法,ssr算法，matlab程序(Single scale Retinex algorithm, SSR algorithm, matlab program)

Matlab源程序代码，著名的PSO程式代码，用于拟合超二次曲线，曲面的代码，适用于粒子系统。呵呵，与大家一起分享受(Matlab source code, the famous PSO program code for the quadratic curve-fitting, Surface code applicable to the particle system. Oh, and that they have enjoyed.)

将2D图像转换为红蓝3D效果。程序由本人编写，算法来自论文《A novel 2D-to-3D conversion technique based on relative height depth cue》by Yong Ju Jung等。(2D-to-3D Conversion. The codes are written by myself and according to the article "A novel 2D-to-3D conversion technique based on relative height depth cue" by Yong Ju Jung.)

一种基于MC算法的医学图像三维重建，或许有用(MC algorithm based on three-dimensional reconstruction of medical images, perhaps useful)

数字水印，用于数字图像的加密，基于SVD的加密算法(Digital Watermarking)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)