Python OpenCV去除字母后面的杂线操作

原图

代码

  src = cv2.imread("28.png")  gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)  #cv2.imshow("input image", src)  #cv2.imshow("gray image", gray_src)  #cv2.waitKey(0)  gray_src = cv2.bitwise_not(gray_src)  #二值化  binary_src = cv2.adaptiveThreshold(gray_src, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 15, -2)  cv2.namedWindow("result image", cv2.WINDOW_AUTOSIZE)  cv2.imshow("result image", binary_src)  #cv2.waitKey(0)  # 提取水平线  src.shape[1]得到src列数  #hline = cv2.getStructuringElement(cv2.MORPH_RECT, (1, 1), (-1, -1))  hline = cv2.getStructuringElement(cv2.MORPH_RECT, (1, 4), (-1, -1)) #定义结构元素，卷积核  # 提取垂直线  src.shape[0]得到src行数  vline = cv2.getStructuringElement(cv2.MORPH_RECT, (4, 1), (-1, -1))  #vline = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))  # 这两步就是形态学的开操作——先腐蚀再膨胀  #temp = cv2.erode(binary_src, hline)   #腐蚀  #dst = cv2.dilate(temp, hline)      #膨胀  # 开运算  dst = cv2.morphologyEx(binary_src, cv2.MORPH_OPEN, hline)  #水平方向  dst = cv2.morphologyEx(dst, cv2.MORPH_OPEN, vline)  #垂直方向  #将二指图片的效果反转既黑色变白色，白色变黑色。 非操作  dst = cv2.bitwise_not(dst)  cv2.imshow("Final image", dst)  cv2.waitKey(0)

结果图，还有一些点需要进一步处理

补充知识：Opencv 提取水平 垂直线，去除杂线，提取对象

我就废话不多说了，大家还是直接看代码吧~

#include<opencv2opencv.hpp>#include<iostream> using namespace std;using namespace cv; int main(int argc, char* argv[]){Mat src = imread("截图3.jpg");if (src.empty()){return -1;}String strInput = "input image";namedWindow(strInput, CV_WINDOW_AUTOSIZE);imshow(strInput, src);Mat dst;cvtColor(src, dst, CV_BGR2GRAY);//转灰度imshow("output grap image", dst);Mat binimg;adaptiveThreshold(~dst, binimg, 255, ADAPTIVE_THRESH_MEAN_C, ADAPTIVE_THRESH_MEAN_C, 15, -2);//转二值imshow("binary image", binimg);Mat hLine = getStructuringElement(MORPH_RECT, Size(src.cols/16, 1), Point(-1, -1));//水平结构Mat vLine = getStructuringElement(MORPH_RECT, Size(1, src.rows / 16), Point(-1, -1));//垂直结构 Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1));//去除杂线 提取对象Mat tmp;//erode(binimg, tmp, vLine);//dilate(tmp, dst, vLine);morphologyEx(binimg, dst, CV_MOP_OPEN,hLine);bitwise_not(dst, dst);//取反blur(dst, dst, Size(3, 3), Point(-1, -1));imshow("Final image", dst); waitKey(0);return 0;}