study-of-spread-droplet

主成分分析的三种方法，一种是自编程序，一种是princomp函数,一种是pcacov函数(Three principal component analysis, one is self-programming, one is princomp function, a function is pcacov)

本解码器类支持普通jpeg文件格式，这也是目前大多数jpeg文件所采用的格式，此格式主要特点是数据精度为8位，采用Huffman编码的普通DCT帧（不支持扩展串行和递进模式及数学编码）。本解码器类的 IDCT算法采用三种模式，分别是浮点解码、定点整数解码和定点整数MMX优化解码，您可根据具体情况选择。(The decoder class support common JPEG file format, which is currently the most JPEG files in the format and the main characteristics of this format is data for 8-bit precision, using Huffman coding DCT common frame (does not support extended serial and progressive model and arithmetic coding). The decoder of the IDCT algorithm uses three modes, respectively, floating-point decoding, fixed-point integer decoding and fixed-point integer MMX optimization, you can choose according to the specific circumstances.)

计算图像的质心，用图像的算发进行操作。这样可以有效的算出图像的质心(The centroid of the calculated image, with an image of the operator hair operation. This can effectively calculating the image centroid)

小波包分解，求能量程序，，对小波包的了解掌握都很有用，希望对读者游泳(the wavelet packet decomposition and energy distribution )

本人研究生阶段做的项目，线结构光视觉传感器的标定中的激光光条中心的提取。 1、通过JPG、PCX、GIF解码方法，来打开BMP、JPG、PCX、GIF格式图像。 2、大津展之法阈值变换，效果较好。 3、三种细化方法，Rosenfold细化、Hildith细化、Pavlidis细化。 4、基于灰度重心法的全分辨率的激光光条中心亚像素坐标的提取。(Calibration )

三维图像重建,采用多种滤波方法，实现三维图像重建，该算法效率比较高。目前已经应用到实际工程。(3-dim picture recreat,use filter method and project method to realise the recreating of 3 dim picture.it is a very effective method ,applied in the project.so I share it with you . )

他很反感；归属地分块地方好法国号法国号韩国胡富国(He was disgusted attribution to block a good place to Hu Fuguo French horn French horn Korea)

说明：  编译的图形软件的一部分程序可以画出直线圆弧矩形(graphics software compiler part of the procedure can draw straight rectangular arc)

图像取对数运算，很有帮助 (Images taken of the number of calculations, useful)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)