| Summary: | Information about an object can be acquired based on a set of features of the
object. Special features objects can also be based on their temperatures. The
distribution of temperature variation appears as a texture which is directly related
to a specific condition of the object. The implement for this is known as a
thermograph.
To understand the �mechanism� of thermography and to benefit from it, a
profound study of the sensors used to capture thermal radiation is needed. In
addition, the role of filters to stop the visual rays should be investigated as well.
This study is intended to explore how far an ordinary consumer digital camera
can be used as a thermograph. As a first step, residing infrared stopping filter is
removed and three visual light blocking filters are installed in turn. The resulting
infrared images are subsequently undergone intensity and contrast normalization
and lowpass filtering to fill in the �missing� in between gray levels. Finally the
richer histogram lines are warped �to match� those acquired with the professional
thermograph.
In terms of entropies, the overall procedures gave an increase from 1.6 to 2.2
with SRS filter, 1.8 to 2.7 with Hoya RM90, and 1.7 to 2.3 with Hoya R72 visible
light blocking filters. Color assignments were indeed enhanced the naked eye
perception of temperature distributions of the thermal objects of interest.
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