laplacian

应用于Adams软件的二次开发,分别为子程序文件以及目标文件(The second development of Adams software)

提取二值图像中的所有非零点坐标，进行矩阵标准化，最后进行二次曲线拟合(Extracting the binary image of all non-zero coordinates, matrix standardized last quadratic curve fitting)

说明：  冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax(Gonzalez digital image processing matlab version of the source DIPUM Toolbax)

说明：  使用openmv实现人脸识别。。。。。。。。。。。。。。。。。。(Face recognition is a kind of biometric technology based on facial feature information. A series of related technologies, also known as portrait recognition and face recognition, that use cameras or cameras to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform face recognition on the detected faces.)

图像剧烈湍流模糊，数字图像处理（第二版）第五章例题5.25的实现程序(Severe turbulence fuzzy image, digital image processing (second edition), Chapter V, Example 5.25, to achieve program)

基于matlab的保偏光纤环零漂的影响仿真，从原理上探究单模光纤扭转对光纤角速度传感器零漂的影响。(Matlab-based polarization maintaining fiber ring zero drift effects simulation, in principle, to explore the fiber single-mode fiber to reverse the impact of the angular velocity sensor zero drift.)

说明：  slic超像素分割，可以实现图像的超像素分割(SLIC super pixel segmentation)

对图像添加各种噪声 高斯噪声 淑盐噪声(Add a variety of image noise, Gaussian noise, noise, salt-sook)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

说明：  基于小波变换，小波分解的图像融合算法，完整代码(Image fusion algorithm based on wavelet transform and wavelet decomposition, complete code)