  This paper proposes the design of decision models based on Computational
Intelligence techniques applied to image sequences of dynamic laser speckle.
These models aim to identify image regions of biological specimens illuminated
by a coherent beam coming from a laser. The field image is pseudo colored using
a Self Organizing Map projection. This process is carried out using a set of
descriptors applied to the intensity variations along time in every pixel of an
image sequence. The models use descriptors selected to improve effectiveness,
depending on the specific application. We present two examples of the
application of the proposed techniques to assess biological tissues. The
results obtained are encouraging and significantly improve those obtained using
a single descriptor.
