toolbox_general

暑期实习用matlab编写的一个人脸马赛克图像处理处理算法，附件同时包含了算法的原理解释(face mosaic image processing by matlab. )

说明：  可以读取输出浮点型、整型、复数型影像，对于遥感专业的所有影像读入输出MATLAB中有很大帮助。采用振幅离差阈值提取PS点(Can read floating-point, integer, and complex type of image, for all remote sensing professional images into the MATLAB will be very helpful)

CODING FOR NEW SEGMENTATION TECHNIQUE

数字图像相关中的亚像素位移计算方法之牛顿迭代法的函数。参数包括参考图像、变形图像和迭代步长(The Function of Newton s Iteration Method for Sub- pixel Displacement Calculation in Digital Image Correlation. The parameters include the reference image, the deformed image, and the iterative step)

说明：  使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

背景差分法运动目标检测，建立背景模型，然后使用当前模型与背景模型相减，再和阈值相比较，比阈值大的即判断为有运动目标，比阈值小的即判断为没有运动目标，阈值大小可以自己适当调试，根据经验值设置最佳阈值。(Background difference method is used for moving target detection and setting up background model, then using current model and background model subtracting, and comparing with threshold, it is judged to have moving target compared with the threshold value, which is smaller than threshold. The size of threshold can be adjusted properly, and the best threshold is set according to experience value.)

利用2张不同角度的图像，重建出三维图像 two view 3D reconstruction(Two different angles of the image, and reconstruct the three-dimensional image two view 3D reconstruction)

天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。(Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c language for image graying, binarization, edge detection is one. C file that can be run with vc6.0 can also be run directly on a DSP, also contains a detailed design report.)

对图像进行分块处理，可以设置分块比例，该程序设置的是8*8的比例，将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)

三维Otsu算法，图像分割，利用粒子群优化算法进行加速。(Three-dimensional Otsu algorithm, image segmentation, particle swarm optimization algorithm accelerated.)