我想从python3.5中的图像中提取MSER特征,但我找不到任何解决方案。我正在尝试以下代码:
import cv2
import sys
mser = cv2.MSER_create()
img = cv2.imread('signboard.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
vis = img.copy()
regions, _ = mser.detectRegions(gray)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions]
cv2.polylines(vis, hulls, 1, (0, 255, 0))
cv2.imshow('img', vis)
if cv2.waitKey(0) == 9:
cv2.destroyAllWindows()但是在mser.detectRegions中得到错误。有人能在python3.5中分享MSER的工作代码吗?
发布于 2017-11-10 16:46:40
您可以尝试这样做:
import cv2
import numpy as np
img = cv2.imread('adhr/adhr/front6.jpg')
mser = cv2.MSER_create()
#Resize the image so that MSER can work better
img = cv2.resize(img, (img.shape[1]*2, img.shape[0]*2))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
vis = img.copy()
regions = mser.detectRegions(gray)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions[0]]
cv2.polylines(vis, hulls, 1, (0,255,0))
mask = np.zeros((img.shape[0], img.shape[1], 1), dtype=np.uint8)
for contour in hulls:
cv2.drawContours(mask, [contour], -1, (255, 255, 255), -1)
text_only = cv2.bitwise_and(img, img, mask=mask)
print text_only
cv2.namedWindow('img', 0)
cv2.imshow('img', vis)
while(cv2.waitKey()!=ord('q')):
continue
cv2.destroyAllWindows()https://stackoverflow.com/questions/45253953
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