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I am trying to extract region of interest in the following image with otsu thresholding.

img = cv2.imread("IM_00024.TIF", 0) 
ret, imgf = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) 
cv2.imwrite('imgobsu.png', imgf)

Based on my understanding of THRESH_BINARY option , my region of interest will be the white section of the obsu image. How can i apply the segmented obsu image to the original image so that i can segment it in such as way that i obtain both the foreground and the background

I am trying to extract region of interest in the following image with otsu thresholding.

img = cv2.imread("IM_00024.TIF", 0) 
ret, imgf = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) 
cv2.imwrite('imgobsu.png', imgf)

Based on my understanding of THRESH_BINARY option , my region of interest will be the white section of the obsu image. How can i apply the segmented obsu image to the original image so that i can segment it in such as way that i obtain both the foreground and the background

I am trying to extract region of interest in the following image with otsu thresholding.

 img = cv2.imread("IM_00024.TIF", 0) 
 ret, imgf = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) 
 cv2.imwrite('imgobsu.png', imgf)

Based on my understanding of THRESH_BINARY option , my region of interest will be the white section of the obsu image. How can i apply the segmented obsu image to the original image so that i can segment it in such as way that i obtain both the foreground and the background

I am trying to extract region of interest in the following image with otsu thresholding.

img = cv2.imread("IM_00024.TIF", 0) 
 ret, imgf = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) 
 cv2.imwrite('imgobsu.png', imgf)
imgf)

Based on my understanding of THRESH_BINARY option , my region of interest will be the white section of the obsu image. How can i apply the segmented obsu image to the original image so that i can segment it in such as way that i obtain both the foreground and the background

I am trying to extract region of interest in the following image with otsu thresholding.

img = cv2.imread("IM_00024.TIF", 0) 
ret, imgf = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) 
cv2.imwrite('imgobsu.png', imgf)

Based on my understanding of THRESH_BINARY option , my region of interest will be the white section of the obsu image. How can i apply the segmented obsu image to the original image so that i can segment it in such as way that i obtain both the foreground and the background

_, contours, _ = cv2.findContours(otsu_mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
largest_contour = max(contours, key=cv2.contourArea)
cv2.drawContours(otsu_mask, largest_contour, -1, 0, 200)