SusanCorner

Matlab的GUI中选择图像的感兴趣区域ROI(正方形和矩形)(Matlab GUI to select the image region of interest ROI (square and rectangular))

用MATLAB实现从颜色空间hsi到rgb空间的转换。(MATLAB hsi from color space to the rgb space conversion.)

说明：  图像滤波，中值滤波，自适应，对比结果，医学图像使用(Image filtering, median filtering, adaptive, comparative results, medical image use)

说明：  基于小波变化的图像融合算法，matlab实现(Image fusion algorithm based on wavelet transform, realized by MATLAB)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

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

程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。(Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.)

4——连通填充算法的实现 1.用户能够用鼠标绘制多边形。 2.可以清除屏幕，重新绘制。 3.填充颜色及多边形的颜色(4- Connectivity filling Algorithm 1. Users to draw polygons with the mouse. 2. Can clear the screen, re-mapping. 3. Polygon fill color and the color)

说明：  这是一个包括bmp文件显示，图像二值化，细线化等集合的程序，可在tc中运行。 程序中有40 +的注释，你能很快的看懂程序(This is a bmp file, including display, image binarization, thinning and other collection procedures, can be run in the tc. 40 + program notes, you can quickly understand procedures)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)