Where’s Wally Problem using Mahotas
Last Updated :
22 Sep, 2021
In this article we will see how we can find the wally in the given image. Where’s Wally?, also called Where’s Waldo? in North America is a British puzzle books. The books consist of a series of detailed double-page spread illustrations showing dozens or more people doing a variety of amusing things at a given location. Readers are challenged to find a character named Wally hidden in the group.
Image used in the program –
Wally Description : Wally is identified by his red-and-white-striped shirt, bobble hat, and glasses, but many illustrations contain red herrings involving deceptive use of red-and-white striped objects.
In order to do this we will use mahotas library. Mahotas is a computer vision and image processing library for Python. It includes many algorithms implemented in C++ for speed while operating in numpy arrays and with a very clean Python interface.
Command to install mahotas –
pip install mahotas
Below is the implementation –
Python3
from pylab import imshow, show
import mahotas
import mahotas.demos
import numpy as np
wally = mahotas.demos.load( 'wally' )
imshow(wally)
show()
wfloat = wally.astype( float )
r, g, b = wfloat.transpose(( 2 , 0 , 1 ))
w = wfloat.mean( 2 )
pattern = np.ones(( 24 , 16 ), float )
for i in range ( 2 ):
pattern[i:: 4 ] = - 1
v = mahotas.convolve(r - w, pattern)
mask = (v = = v. max ())
mask = mahotas.dilate(mask, np.ones(( 48 , 24 )))
np.subtract(wally, . 8 * wally * ~mask[:, :, None ],
out = wally, casting = 'unsafe' )
imshow(wally)
show()
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Output :
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