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Description
Recognition of anomalies in images inspired by Gamma emission tomography instruments (PGET), this is intended to verify the spent nuclear fuel, the PGET consists of a series of collimated gamma ray detectors that rotate in the horizontal plane, transposing the results of the detector toroidal to a 2d image.
This mechanism is effective to the extent that the image retains a symmetry in the images.
The system performs a rescaling and normalization of the values of the image, taking 255 as the maximum number, we took, thus normalizing all pixels of the image between 0 and 1.
For reasons of research and improvement of the algorithm, this allows averaging areas of the image and scaled looking for the symmetry of the image.
Sample
Scale 12
Scale to 24:
Scale to 48
For the exercise different images were used to which random errors were induced to verify the algorithm.
sample:
Run Source code for normalize and scale:
24 Scale
64 scale:
Induce error:
Run algorithm
12 scale
In this case they are deleted in 5 and 6 point of the tomograph, when passing it through the algorithm the anomaly is detected with a scaling to 12.
Co-authors to your solution
David Jeronimo Giraldo A
Link to your concept design and documentation
https://github.com/davjer/imgpro
Link to an online working solution or prototype
http://criptoware.net/imgpro/index.php
Link to a video or screencast of your solution or prototype
https://www.youtube.com/watch?v=1HGs4CDXIYM&feature=youtu.be
Link to source code of your solution or prototype above
https://github.com/davjer/imgpro
ia,symetric,image,recognotion
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