Hi all, I've used MSER from VLfeat toolbox (matlab) and noticed that open cv also has they same method available. From my search on this Q&A I'm sure it's available for C++ but I'm not sure if I can use in in python as well. Could anyone help me on this one? If it's possible, could you provide me with an example as I found nothing in the documentation.
Thank you very much!
Koen
import cv2
img = cv2.imread('foo.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE);
mser = cv2.MSER()
mser_areas = mser.detect()this returns list of list of points as described in the docu for the operator()http://docs.opencv.org/modules/features2d/doc/feature_detection_and_description.html?highlight=mser#mser.
You can also retrieve real keypoints (with associated size etc.) when you use it as feature detector:
fd = cv2.FeatureDetector_create('MSER')
kpts = fd.detect(img)which you then can pass to a descriptor, which you can e.g. create via cv2.DescriptorExtractor_create("ORB").
import cv2
img = cv2.imread('bed.jpg', 0);
vis = img.copy()
mser = cv2.MSER_create()
regions = mser.detectRegions(img, None)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions]
cv2.polylines(vis, hulls, 1, (0, 255, 0))
cv2.imshow('img', vis)
cv2.waitKey(0)
cv2.destroyAllWindows()SOURCE : https://fossies.org/dox/opencv-3.0.0/...
The post above is old. This is how now MSER is used.
old is a relative term, many systems, especially in robotics are still using opencv 2.4, mainly because Ubuntu doesn't integrate opencv3 yet as a package. Your answer is only valid for opencv 3. here is a comparison
import cv2
img = cv2.imread(r'C:\2.png', 0)
vis = img.copy()
mser = cv2.MSER_create()
regions = mser.detectRegions(img)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions[0]]
cv2.polylines(vis, hulls, 1, (0, 255, 0))
cv2.imshow('img', vis)
cv2.waitKey(0)
cv2.destroyAllWindows()
For opencv 2.4:
import cv2
img = cv2.imread('bed.jpg', 0);
vis = img.copy()
mser = cv2.MSER()
regions = mser.detect(img, None)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions]
cv2.polylines(vis, hulls, 1, (0, 255, 0))
cv2.imshow('img', vis)
cv2.waitKey(0)
cv2.destroyAllWindows()Asked: Aug 17 '13
Seen: 30,109 times
Last updated: May 14 '18