/Python/K-means clustering and disabling clusters

K-means clustering and disabling clusters

img = path
img = cv2.imread(img)
img = cv2.cvtColor(img,cv2.COLOR_BGR2LAB)
pixVal = img.reshape((-1,3))
pixVal = np.float(pixVal)
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.2)
# number of clusters (K)
k = 3
_, labels, (centers) = cv2.kmeans(pixVal, k, None,
                                  criteria, 10, cv2.KMEANS_RANDOM_CENTERS)
# convert back to 8 bit values
centers = np.uint8(centers)

# flatten the labels array
labels = labels.flatten()

# convert all pixels to the color of the centroids
segmented_image = centers[labels.flatten()]
# reshape back to the original image dimension
segmented_image = segmented_image.reshape(image.shape)
# show the image
plt.imshow(segmented_image)
plt.show()

# disable only the cluster number 2 (turn the pixel into black)
masked_image = np.copy(image)
# convert to the shape of a vector of pixel values
masked_image = masked_image.reshape((-1, 3))
# color (i.e cluster) to disable
cluster = 2
masked_image[labels == cluster] = [0, 0, 0]
# convert back to original shape
masked_image = masked_image.reshape(image.shape)
# show the image
plt.imshow(masked_image)
plt.show()

Source: thepythoncode.com

Similar codes

0 vote255 views1 answer
Python import environment variables
Python
0 vote267 views1 answer
Complex arrays python
Python
0 vote245 views1 answer
Remove last line of text file python
Python
3 votes295 views2 answers
Django change user password
Python Django
15 votes257 views3 answers
Python - gropuby based on 2 variabels
Python
0 vote274 views3 answers
Python isdigit
Python
12 votes270 views10 answers
Timer
Python
28 votes258 views2 answers
Pandas replace nan with value above
Python
74 votes243 views6 answers
Clear screen python
Python
0 vote284 views2 answers
Check anonim user django
Python Django