In this paper we propose the gradient match fractal vector quantizers (GMFVQs) and the side match fractal vector quantizers (SMFVQs), which are two classes of finite state fractal...
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Abstract--We address the problem of computing a local orientation map in a digital image. We show that standard image gray level quantization causes a strong bias in the repartitio...
In this paper, we examine the problem of locating an object in an image when size and rotation are unknown. Previous work has shown that with known geometric parameters, an image r...
Roger M. Dufour, Eric L. Miller, Nikolas P. Galats...
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...