Segment a region from a numpy array

Question

After some processing of a image I, extracted some region of a image. Here is the .npy file.

segmented_image = np.load('data.npy')
plt.imshow(segmented_image)

Now, I am trying to crop/segment the region of P. How can I do that ?

Thanks in advance.

I'd try to find min/max x/y values for the color pic, and then crop the image to this values — kabooya
– kabooya, Commented Mar 12, 2021 at 7:17
@kabooya yes, but I am trying to segment in a unsupervised way, like area calculating or shape. — Phi
– Phi, Commented Mar 12, 2021 at 8:04

Vatsal Parsaniya · Accepted Answer · 2021-03-12 08:16:00Z

1

You can try contour filtration.

import cv2
import numpy as np

image = np.load("data.npy")
cv2.imshow("image", image)

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

_, threshold_image = cv2.threshold(gray_image, 0, 255, cv2.THRESH_BINARY)
cv2.imshow("threshold_image", threshold_image)

contours, hierarchy = cv2.findContours(threshold_image, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

# here you can apply your conter filter logic
# In this image I can see biggest contur is "p"
selected_contour = max(contours, key=lambda x: cv2.contourArea(x))

mask_image = np.zeros_like(threshold_image)
cv2.drawContours(mask_image, [selected_contour], -1, 255, -1)
cv2.imshow("mask_image", mask_image)

segmented_image = cv2.bitwise_and(image, image, mask=mask_image)
cv2.imshow("segmented_image", segmented_image)

cv2.waitKey(0)

answered Mar 12, 2021 at 8:16

Vatsal Parsaniya

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