D1

图像处理技术中用于图像聚类的一段程序，即将区域中具有相同灰度或其他属性的区域提取出来。 (image processing technology for image clustering section of procedures, upcoming region with the same intensity or other attribute extraction from the region.)

主成分分析程序,应用于图像特征提取，数据降维等方面 (the code of PCA)

动画框画直线，易语言写的图形图像编程，很好的参考。(Animation frame painting line, easy graphic language programming, a good reference.)

C语言实现bmp图像放大缩小，24位bmp图像(The C language bmp image zoom, 24 bmp image)

C#写的绘图板，功能还不错。实现了直线，矩形，圆形，填充矩形，填充圆形。可拖动图形位置，可改变矩形大小，可放大缩小，可输入文字，打开图片，拖动图片，可撤销。(C# to write the drawing board, features well. Implementation of linear, rectangular, circular, filled rectangle, filled circle. Can drag the graphic location, can change the rectangle size can be enlarged or reduced, can enter text, open the image, drag the image may be revoked.)

说明：  基于log Gabor小波的相位一致图像纹理特征分析(Based on log Gabor wavelet phase consistent image texture analysis)

用matlab写的一个将人脸图像进行归一化处理的程序，主要是将多个图像的尺寸进行调整使其大小一致。(Matlab write a face image the normalization processing program, mainly to adjust the size of multiple images to make it the same size.)

实现了图像的加水印，去噪，加噪声等功能，基于kaiser窗的双谱线插值FFT谐波分析，用于建立主成分分析模型。( Realize image watermarking, de-noising, plus noise and other functions, Dual-line interpolation FFT harmonic analysis kaiser windows, Principal component analysis model for establishing.)

说明：  使用Harris角点检测器查找特征。再使用SIFT描述符并匹配两个图像之间的特征描述符。使用RANSAC执行单应。最后把图像包起来缝合。(Use Harris corner detector to find features. Sift descriptors are then used to match the feature descriptors between the two images. Use RANSAC to perform single response. Finally, the image is wrapped and stitched.)

说明：  对指定的一幅含有多个目标的灰度图像，进行基于阈值的图像分割处理，对结果图像进行基于数学形态学的后处理设计，以得到更理想的目标区域。最后对结果图像进行区域标记（以颜色区分不同区域）并提取目标个数、各目标区域的面积、圆形度等特征。(The gray image with multiple targets is segmented based on threshold, and the result image is designed based on mathematical morphology to get a better target area. Finally, we mark the region of the result image (distinguish different regions by color) and extract the number of targets, the area of each target region, roundness and other features.)