How to reduce the number of boxes/regions created in MSER
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I have been trying to get less boxes with MSER since I have too many boxes created on the same element repeatedly with very little pixel differences. My code is as below:
## Get mser, and set parameters
_delta = 10
_min_area = 250
_max_area = 800
_max_variation = 10.0
_min_diversity = 30.0
_max_evolution = 10
_area_threshold = 12.0
_min_margin = 2.9
_edge_blur_size = 3
mser = cv2.MSER_create(_delta,_min_area, _max_area, _max_variation,
_min_diversity,_max_evolution, _area_threshold, _min_margin, _edge_blur_size)
and then
## Do mser detection, get the coodinates and bboxes on the original image
gray = cv2.cvtColor(final, cv2.COLOR_BGR2GRAY)
coordinates, bboxes = mser.detectRegions(gray)
After this , I see there are 26K boxes created. Which amongst the parameters can be tuned for lesser number of regions(since they are overlapping a lot). Kindly help?
python-3.x opencv image-processing mser
asked 2 days ago
sayan_sen
186
add a comment |
up vote
0
down vote
favorite
I have been trying to get less boxes with MSER since I have too many boxes created on the same element repeatedly with very little pixel differences. My code is as below:
## Get mser, and set parameters
_delta = 10
_min_area = 250
_max_area = 800
_max_variation = 10.0
_min_diversity = 30.0
_max_evolution = 10
_area_threshold = 12.0
_min_margin = 2.9
_edge_blur_size = 3
mser = cv2.MSER_create(_delta,_min_area, _max_area, _max_variation,
_min_diversity,_max_evolution, _area_threshold, _min_margin, _edge_blur_size)
and then
## Do mser detection, get the coodinates and bboxes on the original image
gray = cv2.cvtColor(final, cv2.COLOR_BGR2GRAY)
coordinates, bboxes = mser.detectRegions(gray)
After this , I see there are 26K boxes created. Which amongst the parameters can be tuned for lesser number of regions(since they are overlapping a lot). Kindly help?
python-3.x opencv image-processing mser
asked 2 days ago
sayan_sen
186
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have been trying to get less boxes with MSER since I have too many boxes created on the same element repeatedly with very little pixel differences. My code is as below:
## Get mser, and set parameters
_delta = 10
_min_area = 250
_max_area = 800
_max_variation = 10.0
_min_diversity = 30.0
_max_evolution = 10
_area_threshold = 12.0
_min_margin = 2.9
_edge_blur_size = 3
mser = cv2.MSER_create(_delta,_min_area, _max_area, _max_variation,
_min_diversity,_max_evolution, _area_threshold, _min_margin, _edge_blur_size)
and then
## Do mser detection, get the coodinates and bboxes on the original image
gray = cv2.cvtColor(final, cv2.COLOR_BGR2GRAY)
coordinates, bboxes = mser.detectRegions(gray)
After this , I see there are 26K boxes created. Which amongst the parameters can be tuned for lesser number of regions(since they are overlapping a lot). Kindly help?
python-3.x opencv image-processing mser
asked 2 days ago
sayan_sen
186
I have been trying to get less boxes with MSER since I have too many boxes created on the same element repeatedly with very little pixel differences. My code is as below:
## Get mser, and set parameters
_delta = 10
_min_area = 250
_max_area = 800
_max_variation = 10.0
_min_diversity = 30.0
_max_evolution = 10
_area_threshold = 12.0
_min_margin = 2.9
_edge_blur_size = 3
mser = cv2.MSER_create(_delta,_min_area, _max_area, _max_variation,
_min_diversity,_max_evolution, _area_threshold, _min_margin, _edge_blur_size)
and then
## Do mser detection, get the coodinates and bboxes on the original image
gray = cv2.cvtColor(final, cv2.COLOR_BGR2GRAY)
coordinates, bboxes = mser.detectRegions(gray)
After this , I see there are 26K boxes created. Which amongst the parameters can be tuned for lesser number of regions(since they are overlapping a lot). Kindly help?
python-3.x opencv image-processing mser
python-3.x opencv image-processing mser
asked 2 days ago
sayan_sen
186
asked 2 days ago
sayan_sen
186
edited 2 days ago
asked 2 days ago
sayan_sen
186
asked 2 days ago
sayan_sen
186
asked 2 days ago
sayan_sen
186
186
add a comment |
add a comment |
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