Digital-Image-Processing-writed-by-Gonzalez-secon

通过邻域搜索法对一个相机拍摄的序列图像中圆形非编码标志点进行匹配(Neighborhood search method by camera on a circular non-coding sequence of images to match landmarks )

用matlab编写的进行椭圆检测的算法，用到Hough变换(Using matlab for ellipse detection algorithm, Hough transform is used)

说明：  使用小波、countlet、Lee等多种方式实现SAR图像去噪(use the wavelet,countlet,Lee achieve the denoising of SAR image)

程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。(mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the cluster number K as well as initial seeds for )

高斯马尔可夫随机场纹理分割程序matlab(a gaussian markov random field for texture segmentation)

基于图像处理的人脸检测系统，通过openCV软件来实现的(Image processing based face detection system, implemented by software openCV)

图像拼接小程序，使用直接对比的方法进行拼接并用加权平均的方法进行融合 (a simple program for image splicing )

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

用于图像处理上的相邻像素点之间相关性的计算，主要用于分析像素值之间的关联度(For the calculation of the correlation between the pixels on the image processing)

基于DCT域的数字水印算法主要包括水印调制、水印嵌入和水印提取，首先在嵌入载体图像之前用Logistic混沌序列对水印进行调制，得到一个只有+1和-1随机序列的水印，同时将载体图像进行全局DCT变换，然后将水印图像嵌入人类视觉系统最重要的部分，即DCT最大的系数，DC（Direct Current）部分也包含在这最大的系数中，这部分的系数满足人类视觉特性，会使水印嵌入的性能更好。嵌入算法是将水印与这些系数进行相乘获得新的系数，再用新的系数来替换原来的系数，即获得嵌入水印后的离散余弦域的图像，然后对这个变换后的图像进行IDCT，就会得到需要的水印图像。(While the carrier image digital watermarking algorithm based on DCT domain include watermark modulation, watermark embedding and watermark extraction, the first of the watermark embedded in a carrier modulated image before using Logistic chaotic sequence, only+1 and-1 to get a random sequence of watermark, Global DCT transform, then the watermark image is embedded most important part of the human visual system, i.e. the largest DCT coefficients, DC (Direct Current) in this section also contains the largest coefficient, the coefficient of this part of the human visual characteristics to meet, make watermarks Embed better performance. The watermark embedding algorithm is with these coefficients are multiplied to obtain new coefficients, and then a new factor to replace the original coefficients, namely discrete cosine domain to obtain an image watermarked and then transformed the image of this conduct IDCT, on watermark image will be needed.)