On 11 Nov 2015, at 08:08, Stéfan van der Walt <stefanv@berkeley.edu> wrote:

I think kwc meant that he wanted parts of the template to be ignored. I have the same problem at the moment, so will have to investigate soon if no other dev informs us how :)

Stéfan

On Nov 10, 2015 12:26 PM, "'Kevin Keraudren' via scikit-image" <scikit-image@googlegroups.com> wrote:
Hi,

What about simply masking out in the matching results the region you want to exclude:

import numpy as np
from skimage.feature import match_template

...

matching_result = match_template( image, template, pad_input=False )

matching_result  = np.array(matching_result)

# mask out the region you want to exclude
matching_result[mask==0] = 0

# coordinates of the best match
best_match = np.unravel_index( np.argmax(matching_result), matching_result.shape )

See this example to better understand what matching_result should look like:

Kind Regards,

Kevin


On 10 Nov 2015, at 09:11, 'kwc' via scikit-image <scikit-image@googlegroups.com> wrote:

Hi, I am new to scikit-image. I would like to use the Template Matching function in scikit-image.

In my template image, there are some regions that I would like to ignore or exclude from the template matching process. I plan to change those regions to become transparent (alpha channel). Does the alpha channel have any effect on the template matching result?

Thanks.


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