When processing an image with text in OpenCV, my opening operation does not result in proper output data. The issue is quite similar to the one described in this article: http://www.cpe.eng.cmu.ac.th/wp-content/uploads/CPE752_06part2.pdf
What I can see, people suggest to use reconstruction operations. Is there any build-in mechanism in OpenCV or some known library/code that implements this?
Here's my Python3
implementation in analogy to MatLab's imreconstruct
algorithm:
import cv2
import numpy as np
def imreconstruct(marker: np.ndarray, mask: np.ndarray, radius: int = 1):
"""Iteratively expand the markers white keeping them limited by the mask during each iteration.
:param marker: Grayscale image where initial seed is white on black background.
:param mask: Grayscale mask where the valid area is white on black background.
:param radius Can be increased to improve expansion speed while causing decreased isolation from nearby areas.
:returns A copy of the last expansion.
Written By Semnodime.
"""
kernel = np.ones(shape=(radius * 2 + 1,) * 2, dtype=np.uint8)
while True:
expanded = cv2.dilate(src=marker, kernel=kernel)
cv2.bitwise_and(src1=expanded, src2=mask, dst=expanded)
# Termination criterion: Expansion didn't change the image at all
if (marker == expanded).all():
return expanded
marker = expanded
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