Pisit Phokharatkul

Learn More
This article presents a method to solve the rotated and scaling character recognition problem using Fourier descriptors and genetic neural networks. The contours of character image are extracted and separated between the outer contour and inner or loop contours. The loop contours are a special characteristic of Thai characters, called the head of the(More)
This paper presents a type-2 fuzzy logic system that can be applied to a mobile robot which is a project associated with using infrared sensors as distance sensors, DC motor control system, knowledge of multiplex, RS-232 interface line, knowledge of microcontroller and knowledge of intelligent system. Infrared sensors are used to measure distance between a(More)
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-ofsight (LOS) propagation. We propose new upperand lower-bound models for the LOS path loss using fuzzy linear regression (FLR). The spread of upperand lower-bound of FLR depends on max and min value of a sample path loss data while the conventional upperand(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)
  • 1