Pisit Phokharatkul

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Object recognition is an essential part of the computer vision system. This paper proposes a genetic algorithm to search the features of model shapes of the object from model-base, to identify input shapes of the object. The dominant points are extracted from the edge of binary images using Gaussian filtering. There are two methods to compute the output(More)
This paper presents a method to model the path loss characteristics in microwave urban line-of-sight (LOS) propagation. We propose new upper-and lower-bound models for the LOS path loss using fuzzy linear regression (FLR). The spread of upper-and lower-bound of FLR depends on max and min value of a sample path loss data while the conventional upper-and(More)
This paper presents both fuzzy logic and rough logic as applied to Thai character recognition. Both fuzzy and rough sets have been introduced as tools to deal with vagueness and uncertain data in artificial intelligence applications. They both attack the problem of impreciseness, but in different ways. Whereas fuzzy logic is concerned with vagueness, rough(More)
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