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Machine Learning Projects for Mobile Applications
book

Machine Learning Projects for Mobile Applications

by Karthikeyan NG
October 2018
Intermediate to advanced
246 pages
6h 26m
English
Packt Publishing
Content preview from Machine Learning Projects for Mobile Applications

Seamless cloning

Up until the last step, the image swapped on top of another image may not look like it fits perfectly. To make the edges and the skin tone fit perfectly, we need to apply seamless cloning as the final step. There are three types of seamless cloning available, which are designed to make the best output of the final image:

  • NORMAL_CLONE: This is the one we have used in our application. The power of the method is fully expressed when inserting objects with complex outlines into a new background.
  • MIXED_CLONE: The classic method—color-based selection and alpha masking might be time-consuming, and it often leaves an undesirable halo.
  • FEATURE_EXCHANGE: Feature exchange allows the user to easily replace certain features of one object ...
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Publisher Resources

ISBN: 9781788994590