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<opencv2\opencv.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; }
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