demo

水平集方法图像处理窄带技术Matlab代码实现(Narrow band level set method image processing technology Matlab code)

表面张力CSF模型，用于计算微重力条件下的两相流问题。(Comtinum Saface tension Force)

超像素就是把一幅原本是像素级(pixel-level)的图，划分成区域级(district-level)的图。可以将其看做是对基本信息进行的抽象(A superpixel is a plot of a pixel level, which is divided into a regional level. Think of it as an abstraction of basic information)

极坐标图像转直角坐标图像，相当于球面的展开效果，最好是正方形图像，但是长方形也可以。(POLARTOIM converts polar image to rectangular image)

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

说明：  用于读取SAR数据处理中的干涉图和SAR强度图的函数，可以制定具体大小进行读取。(The functions used to read the interferograms and SAR intensity diagrams in SAR data processing can be read by specific sizes.)

demo中基本上整理了目前常用的所有边缘检测算子，并添加了自定义的frei-chen、kirsch、direcedge、PrewittCompass、RobinsonCompass边缘检测算子function函数。此外，还有Ruzon罗盘算子的matlab实现程序，能对灰度图像的边缘加以检测。(demo, basically compiled all the commonly used edge detection operator, and add a custom frei-chen, kirsch, direcedge, PrewittCompass, RobinsonCompass edge detection operator function function. In addition, there Ruzon compass operator procedures matlab realize, can be gray-scale image edge detection.)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

说明：  首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)

改进的图像拼接算法，基于sift算法，实现图像的自动拼接，测试，完美运行(Improved image mosaic algorithm based the sift algorithm to achieve automatic image stitching, test, run perfectly)