Page 156 - Introduction to Information Optics

2.9. Processing with Neural Networks 14]

Fig. 2.50. Pseudocoloring. (a) Black-and-white X-ray image, (b) Density (color)-coded image,

processor, the complex light field at the Fourier domain is

a > V ' a ±
Z7T
'~J I rp
(jj 1 I ^ 1. O
1
271 / " \ Z7T

By proper color filtering in the Fourier spectral, a pseudocolor image can be
observed at the output plane.
An example of a pseudocolor-coded image is depicted in Fig. 2.50. It is
indeed easier and more pleasant to visualize a color-coded image than a
black-and-white image.

2.9. PROCESSING WITH NEURAL NETWORKS

Electronic computers can solve classes of computational problems faster
and more accurately than the human brain. However, for cognitive tasks, such
as pattern recognition, understanding and speaking a language, and so on, the
human brain is much more efficient. In fact, these tasks are still beyond the
reach of modem electronic computers. A neural network consists of a collec-
tion of processing elements called neurons. Each neuron has many input signals
but only one output signal, which is fanned out to many pathways connected