Define Preprocessing techniques for images

[DiegoHerrera262]

Define an algorithm for preprocessing training and test images for obtaining better correlation outputs. Some ideas include:

• Try zeroing u-v axis in image spectra to reduce edge effects.
• Implement normalization before filter construction and correlation computation to reduce intensity influence on the output.
• Try adaptative histogram equalization.

In order to check effectiveness of those techniques the following methodology is proposed:

1. Compare correlation metric with 1 test image and 1 training image before and after preprocessing, for both true and impostor classes.

2. Repeat process for different test - training pair. And asses qualitatively whether preprocessing increases performance.

3. Build several-image filter with preprocessed training set and compute correlation metric with preprocessed test image and raw image. Asses whether performance is better than one-image filter built with and without preprocessing.