histogram

一个计算多边形面积和周长的程序, 同时可以把多边形显示出来, 直观展现多边形形状.(A polygon area and perimeter calculation procedures, the polygons can be displayed simultaneously, intuitive show polygonal shape.)

第二代离散曲波变换的源程序，包括图像处理中的应用(Second-generation discrete curvelet transform of the source, including the application of image processing)

应用Intel® JPEG Library v1.5处理图像的例子(Using Intel® JPEG Library v1.5 to process image.)

最邻近插值的matlab实现代码，可以对图像进行插值，插值的方法为最邻近插值法(The nearest neighbor interpolation matlab code, image interpolation, interpolation methods nearest neighbor interpolation)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

该文档描述了如何使用sketchup制作3D模型，并上传到google的3D仓库。(This document describes how to create 3D models using sketchup and uploaded to google' s 3D warehouse.)

人眼定位 人脸检测 形态学处理 伽伯变换 二值化(Human eyes locating face detection morphological processing Gabor transform binaryzation )

进行图像格式的转换，可以由bmp转换为tif、jpg等格式(Image format conversion, may tif, jpg bmp format conversion by the)

N-FINDR算法，高光谱图像无先验知识下的端元提取算法，最后计算每种端元的丰度(N-FINDR algorithm for hyperspectral image without prior knowledge of endmember extraction, and calculate the abundance)

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)