I'm trying to separate the detected objects into images but since the MSER method are detecting too many times the boundaries when i save into images i get a lot of repetetive images.
This is the image with the MSER detection: MSER detection: C:\fakepath\GDFXn.png
So i want to separate each object into an image, without any repetitions. Is anyone can help me?
Thank you! Rita Maia
This is my code so far:
img = cv2.imread('C:\Users\Rita\Desktop\ISCTE\2_ano\Tese\MSER\1_Exemplo\botoes_v2.PNG',1)
vis = img.copy() mser = cv2.MSER_create()
mser = cv2.MSER_create( _min_area = 5000, _max_area = 25000, _max_variation = 1.0) vis = img.copy() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
regions, _ = mser.detectRegions(gray)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions] cv2.polylines(vis, hulls, 1, (0, 255, 0))
for i, contour in enumerate(hulls): x,y,w,h = cv2.boundingRect(contour) cv2.imwrite('1_exemplo_{}.png'.format(i), img[y:y+h,x:x+w])