1. 图像配准的方法有很多种,此次遇到的有:https://blog.youkuaiyun.com/yuanlulu/article/details/82222119 基于维数3X3的单应性矩阵(Homography )---基于特征的
https://blog.youkuaiyun.com/LuohenYJ/article/details/89351966(有参考代码)
边缘检测+角点特征+surf特征提取:https://blog.youkuaiyun.com/qq_37871215/article/details/68943628
2. 腐蚀(变瘦)与膨胀(变胖):https://www.jianshu.com/p/05ef50ac89ac
开运算:先腐蚀后膨胀 闭运算:先膨胀后腐蚀
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5)) # 定义结构元素
cv2.morphologyEx(img, cv2.MORPH_OPEN/cv2.MORPH_CLOSE, kernel)
3. 读取文件夹下的图片将之转换成list:https://www.cnblogs.com/zangyu/p/5764905.html
4. 程序报错:
FindContours support only 8uC1 and 32sC1 images in function cvStartFindContours
原因:The documention of findContours
is clearly saying that it can afford to take single channel images as inputs(i.e 8uc1 and 32sc1) But you are sending 3 channel image.
cv2.error: D:\Build\OpenCV\opencv-3.3.0\modules\video\src\ecc.cpp:540: error: (-7) The algorithm stopped before its convergence. The correlation is going to be minimized. Images may be uncorrelated or non-overlapped in function cv::findTransformECC
错误:https://stackoverflow.com/questions/50631195/getting-an-error-opencv3-4-1-c-projects-opencv-python-opencv-modules-imgproc(OpenCV(3.4.1)C:\ projects \ opencv-python \ opencv \ modules \ imgproc \ src \ thresh.cpp:1406:错误:(-215)src.type()==(((0)&(( 1 << 3) - 1))+(((1)-1)<< 3))在函数cv :: threshold中)
5. 画矩形框:https://blog.youkuaiyun.com/wsp_1138886114/article/details/82945328
6. 获取文件夹下所有文件名:https://blog.youkuaiyun.com/u012871045/article/details/78878488
https://www.cnblogs.com/denny402/p/5123772.html
https://blog.youkuaiyun.com/qq_27261889/article/details/81151207(python+os根据文件名自动生成文本)
https://blog.youkuaiyun.com/wsLJQian/article/details/81210867(获得txt每一行)
https://blog.youkuaiyun.com/heishanlaoniu/article/details/81412314(删掉字符串中指定字符)
https://blog.youkuaiyun.com/weixin_39416561/article/details/84190234(批量修改文件名)
7. 正则表达式(还是十窍懂了九窍)
https://www.runoob.com/python/python-reg-expressions.html
https://blog.youkuaiyun.com/kpchen_0508/article/details/40921457
https://www.cnblogs.com/chuxiuhong/p/5885073.html
8:改变图片大小(PIL和cv2)
https://blog.youkuaiyun.com/LemonTree_Summer/article/details/81060829
我们习惯的坐标表示为(x,y),在OpenCV中对图像处理时的坐标表示为(y,x),即img.shape返回的是( 高度,宽度 )=(y,x)。然而cv2.resize(),cv2.warpAffine()函数的dst和dsize参数输入是 (宽度,高度),与img.shape相反。这里一定要注意!!很容易出错