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adaptive thresholding python

Coderunner answered on June 23, 2022 Popularity 10/10 Helpfulness 6/10

answer adaptive thresholding python

adaptive thresholding python

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'''Adaptive thresholding assumes that smaller regions of the image
are most likely to have approximately constant level of light.
The adaptive threshold can be performed by cv2.adaptiveThreshold()
as follows in the example:'''

img = cv2.imread("myimage.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #Convert to grayscale
lowpass = cv2.GaussianBlur(gray, (7, 7), 0) #Filter high frequency noise.
''' all pixel values above adaptive threshold T will be set to 255 
else zero, this is accomplished by cv2.THRESH_BINARY method which create
a binary image in the neighborhood region. ADAPTIVE_THRESH_MEAN_C 
specifies that adptive threshod T is calculated by neighbourhood mean.
20 is the size of the filter 19X19 (must be odd). 8 is
the fine tuning value used to improve adptive threshold (is arbitrary).
'''
thresh = cv2.adaptiveThreshold(lowpass, 255,cv2.ADAPTIVE_THRESH_MEAN_C,\
                               cv2.THRESH_BINARY,19, 8)
#cv2.ADAPTIVE_THRESH_MEAN_C can be subtituded by
#cv2.ADAPTIVE_THRESH_GAUSSIAN_C which is a weighted mean. 
cv2.imshow("Mean Adaptive Thresholding", thresh)
cv2.waitKey(0)

Popularity 10/10 Helpfulness 6/10 Language python

Source: pyimagesearch.com

Tags: cv2 opencv-python python

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Contributed on Jun 23 2022

Coderunner

0 Answers Avg Quality 2/10

adaptive thresholding python

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