filter

符合高斯分布的关于随机粗糙表面的生成代码(Meet the Gaussian distribution of the random rough surface on the generated code)

实现形态学的腐蚀，扩张，开，闭及击中击不中变换(Realize the morphology of corrosion, expansion, open and close and hit-miss transform)

这是本智能图像处理的书教你如何读取BMP图像二值化中值滤波还有灰度变换图像匹配，检索(This is the intelligent image processing book teaches you how to read the BMP image binarization there are gray-scale transformation in the value of the filter image matching, retrieval)

说明：  关于非下采样轮廓波域红外与可见光图像配准算法(On the registration algorithm of infrared and visible image in unsampled contour wave domain)

C++开发的计算机图形学关于直线绘制的算法，主要涉及DDA算法、中点画线算法、Bresenham画线算法(C++ developed computer graphics on line drawing algorithm, mainly involves DDA algorithm, midpoint line algorithm, Bresenham line drawing algorithm.)

数字图像处理matlab版源码1，adpmedian.m(Matlab source code version of Digital Image Processing 1, adpmedian.m)

atrous NSCT图像融合算法 可直接使用 带有实验测试图(atrous NSCT image fusion )

文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)

实现论文 Active Contours without Edges 中提出的CV活动轮廓模型，用于分割图像。(To achieve paper Active Contours without Edges, in the CV active contour model for image segmentation.)

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.)