Evaluation Of Hittite Archaeological Ruins Using Iterative Cellular Image Processing Algorithm (ICIPA)


The 2rd International Conference on Earth Sciences and Electronics (ICESE-2002), Turkey, 1 - 04 October 2002, vol.2, pp.219-227

  • Publication Type: Conference Paper / Full Text
  • Volume: 2
  • Country: Turkey
  • Page Numbers: pp.219-227



In this paper, a new iterative image processing algorithm is introduced and denoted as
“iterative cellular image processing algorithm (ICIPA). The new unsupervised iterative
algorithm uses the advantage of stochastic properties and neighborhood relations between the
cells of the input image. In ICIPA scheme; first regarding to the stochastic properties of the
data, all possible quantization levels are determined and then 2D input image is processed
using a function, based on averaging and neighborhood relationship and a parameter C is
attended for each cell. Then Gaussian probability values are mapped for each cell regarding
to all possible quantization levels and the attended value C. A maximum selector defines the
highest probability value for each cell. In the case of complex data, first iteration output is
fed into input till a sufficient output is found.
We have applied ICIPA algorithm to various synthetic examples and then a real data,
the ruins of Hittite Empire. Satisfactory results are obtained. We have observed that de-nosing
property of our scheme is the best in the literature. It is interesting that the corrupted data
with Additive White Gaussian Noise (AWGN) up to %97 ratio, can be de-noised by using our
proposed ICIPA algorithm.