Image not segmenting properly using DBSCAN

You need to use both color and position.

Right now, you are using colors only.

Could you please add the enitre code in the answer? Im not able to understand where do I add the those 3 lines which have worked for you – user8306074 Sep 4 at 8:58

Let me answer for you, and here is the full version of the code:

import numpy as np
import cv2
import matplotlib.pyplot as plt
from sklearn.cluster import DBSCAN

img= cv2.imread('your image') 
labimg = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

n = 0
while(n<4):
    labimg = cv2.pyrDown(labimg)
    n = n+1

feature_image=np.reshape(labimg, [-1, 3])
rows, cols, chs = labimg.shape

db = DBSCAN(eps=5, min_samples=50, metric = 'euclidean',algorithm ='auto')
db.fit(feature_image)
labels = db.labels_

indices = np.dstack(np.indices(labimg.shape[:2]))
xycolors = np.concatenate((labimg, indices), axis=-1) 
feature_image2 = np.reshape(xycolors, [-1,5])
db.fit(feature_image2)
labels2 = db.labels_

plt.figure(2)
plt.subplot(2, 1, 1)
plt.imshow(img)
plt.axis('off')

# plt.subplot(2, 1, 2)
# plt.imshow(np.reshape(labels, [rows, cols]))
# plt.axis('off')

plt.subplot(2, 1, 2)
plt.imshow(np.reshape(labels2, [rows, cols]))
plt.axis('off')
plt.show()