I am using the below code for color-based segmentation using K-means. In this code, each cluster is saving into one image. In my case requirement is a bit different. I want to save only blue color images. Could you please help me how can I save only blue color images?
import numpy as np
import cv2
import pdb
from matplotlib import pyplot as plt
img = cv2.imread('a.png')
Z = np.float32(img.reshape((-1,3)))
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0)
K = 4
_,labels,centers = cv2.kmeans(Z, K, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS)
labels = labels.reshape((img.shape[:-1]))
reduced = np.uint8(centers)[labels]
result = [np.hstack([img, reduced])]
for i, c in enumerate(centers):
mask = cv2.inRange(labels, i, i)
mask = np.dstack([mask]*3) # Make it 3 channel
ex_img = cv2.bitwise_and(img, mask)
ex_reduced = cv2.bitwise_and(reduced, mask)
result.append(np.hstack([ex_img, ex_reduced]))
pdb.set_trace()
cv2.imwrite('watermelon_out.jpg', np.vstack(result))



(0, 255, 0)distance wise and plot only for that center.