vibe_tom

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)

SAR运动目标成像，包含了多个点目标，结果比较清晰(SAR Moving Target Imaging)

说明：  用MATLAB读取一幅任意大小和格式的彩色图片，并将图片数据保存到dat格式的m代码，同时还可以读取TXT格式的数据文件，并在MATLAB将其以图像的形式显示出来(Using MATLAB to read any size and format of a color image, and image data into m code dat format)

窗口置外形图片的应用--数码时钟，易语言写的图形图像编程，很好的参考。(Window profile picture-- Application of digital clock, easy graphic language programming, a good reference.)

扫描文件夹，通过文件大小和创建时间判断图片文件是否重复，并分类和重命名(Scanning folders to determine whether image files are duplicated, categorized and renamed by file size and creation time)

裁剪以RGB565格式保存的BMP文件，涉及位图掩码内容(imagecut of the BMP picture which saved with RGB565 format and mask)

实现图像匀光，实现了MASK（马斯克）和Wallis匀光算法(附带参考文献)。(Image dodging, the MASK and Wallis dodging algorithm (with references).)

机动目标跟踪，交互式多模型算法的代码，一个简单的例子(Maneuvering target tracking, interactive multiple model algorithm code, a simple example)

gongzhenQ.m:计算双稳态随机共振系统输入输出信信噪比增益，非常明显的随机共振现象。，已通过测试。 (gongzhenQ.m: calculation of the stochastic resonance of bistable stochastic resonance system input output signal SNR gain, it is clear. , Has been tested.)