基于MATLAB的图像面积测量方法

说明：  尼康相机拍摄的原始数据RAW格式，matlab实现该类格式的读取，显示。便于计算机进行后续的处理。直接运行即可。(RaW format of raw data captured by Nikon camera, which is read and displayed by matlab. It is convenient for computer to carry out follow-up processing. It can run directly.)

图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜色情况。本程序采用非均匀量化方法得到36bin的颜色直方图。(Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.)

CPML在地震波模拟中的实现源码。主要包括了二维和三维交错网格有限差分及其完全匹配层实现。(Group progam for Seismic wave modeling.CPML implemention in finite difference of seismic wave modeling. )

说明：  生成显著图方法，一种基于空间频域分析的显著性分析算法（Spectral Residual，SR算法）的matlab实现代码(Matlab code generated saliency map method based on the spatial frequency domain analysis of significant analysis algorithm (Spectral Residual, SR algorithm))

数字图像处理常见问题及编程技巧汇编。希望对这方面的学习者有所帮助(Data, the software architect exam is a comprehensive commo)

说明：  图像融合是图像处理的一个研究热点，这里提供一种方法即局部能量最大选取规则图像融合法(Image fusion is image processing of a research hot spot that is here to provide a way to select the rules of the local energy of the largest image fusion method)

Choen-Sutherland算法裁剪线段 计算机图形学中使用Choen-Sutherland算法进行图形多边形裁剪，并用MFC实现(Choen-Sutherland )

susan角点检测的源代码。简单易学附带中文程序说明(susan corner detection of the source code. Relatively simple description of the procedures with the Chinese)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

2d convolution on image