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

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.