Matthew :
I have this image
When I apply
from skimage import filters
result_sobel = filters.sobel(image)
The image is
How can I remove the bounding box outline so it blends with the background?
Ideally, the output will be the black background, and the red in between without the outlined bounding box.
fmw42 :
Here is one way in Python/OpenCV. Just get the contours from the original gray image. Then draw those in black over your red outline image as 3 pixels thick (Sobel edge thickness). I note that your two images are not the same size and the outlines are shifted relative to the gray boxes. Why is that?
Gray Original:
Sobel Red Edges:
import cv2
import numpy as np
# read original image as grayscale
img = cv2.imread('gray_rectangle.png', cv2.IMREAD_GRAYSCALE)
hi, wi = img.shape[:2]
# read edge image
edges = cv2.imread('red_edges.png')
# edges image is larger than original and shifted, so crop it to same size
edges2 = edges[3:hi+3, 3:wi+3]
# threshold img
thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY)[1]
# get contours and draw them as black on edges image
result = edges2.copy()
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]
cv2.drawContours(result, contours, -1, (0,0,0), 3)
# write result to disk
cv2.imwrite("red_edges_removed.png", result)
# display it
cv2.imshow("ORIG", img)
cv2.imshow("EDGES", edges)
cv2.imshow("THRESH", thresh)
cv2.imshow("RESULT", result)
cv2.waitKey(0)
Result:
