Estimation-master

简单的介绍了基于matlab的QR码的识别，包括图像的预处理，图像定位，图像的识别等(This paper briefly introduces the recognition of QR code based on matlab, including image preprocessing, image positioning, image recognition and so on.)

各个坐标系之间的坐标变化：地心大地坐标到地心空间大地直角系，地心系和测站系，测站系和测站系等之间的变化，旋转，平移。(Coordinate changes between the various coordinate systems: geocentric geodetic coordinate system to the geocentric Cartesian space earth, geocentric system and station lines, change the station, such as lines and lines between stations, rotation, translation)

代码主要用来模拟林芝机场附近一天内4个不同时间GDOP变化情况(Code is mainly used to simulate the Nyingchi Airport near four different times within a day GDOP changes)

具体实现思路：以4位数字的验证码为例 1、人工将验证码的4位数字每位对应的代码存入数据库中，每位存入0-9对应的代码，每个数可以多存这样可以提高识别率; 2、获取验证码以后，对其进行去背景、灰度处理、去噪点处理、分片处理以后生成每位数字对应的代码; 3、去背景色，这一步的目的是把验证码和背景颜色区别开来。4、去噪声：这一步要取出图像上的孤立点。这些孤立点被认为是噪声。  孤立点的定义：某个点，周围没有与该点等值的点。  或者某个连接块，该连接块的元素的个数小于某个给定值K， 把元素个数很小的连接块也定义为孤立点，有助于去处噪声。  去噪声算法：参照去背景算法。 5、图像锐化：图像锐化的目的是增强边界。这一步是可选的。看验证码的情况，这一步可以跳过。 6、图片有效区域截取：这个操作是将图片除验证码字符以外的边框去掉，只留下验证码字符图片，这样保证分片的准确性。 7、图片分片处理，这个处理是将整个图片分割成单个字符图片。8、拿分片图像生成的代码(eg:000111110011…..)与DB中已有代码相比较，取得相似度最高的即要验证码的字符;   注：如果DB的样本越多，识别的准确率也越高，但是速度会相应变慢

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

可以实现平面图像到球面坐标的映射变换，效果较好，附原始图片。(Plane image mapping transformation to spherical coordinates better with the original picture.)

说明：  基于分水岭变换的浮选泡沫图像分割基于分水岭变换的浮选泡沫图像分割(GOODGOODGOODGOODGOODGOODGOODGOOD)

Chunk does not have valid dummy end block.

一种基于惯导信息的多普勒波束锐化图像拼接算法(A Doppler beam sharpening image stitching algorithm based on inertial navigation information)

这是本人自己实现的椭圆检测算法，基于MATLAB实现，经测试对一些图片椭圆检测效果较好，需要同学可以参考(This is my own implementation of ellipse detection algorithm based on MATLAB implementation, tested on a number of pictures ellipse detection is better, students can refer to the need to)