dc.description.abstracten |
Having the right colors is one of the best ways for picture to look good. But not
only humans’ eye will appreciate correctly colored image, but also a computer, es-
pecially when the task is to track object by its color. While this might not seem like a
difficult one, but when you have really long-term tracking, in an environment where
lightning conditions change over time, you want to be sure that your algorithm is
still able to find desired object. Or maybe you cannot or don’t want to manually ad-
just camera color settings, but still need to track same object during the day, sunset
and in the afternoon, when everything changes it colors to red and blue afterwards.
The main idea behind this work is to create an automatic pipeline which will
output either corrected image, or the mask, which should be applied to produce cor-
rected image, depending on selected method. This is achieved by using a template
with reference color values, which is then compared with the colors on the input im-
age and proceeded to color estimation algorithms. Different types of templates and
color estimation algorithms were compared to select the most effective to provide
color stability. We show that you don’t need a special templates to achieve good
results in color calibration. |
uk |