A Mathematical Operator for Automatic and Real Time Analysis of Sequences of Vascular Images

Authors:
Marcello Demi;Elisabetta Bianchini;Francesco Faita;Vincenzo Gemignani
Affiliations:
CNR Institute of Clinical Physiology, Pisa, Italy 56124 and Esaote SpA, Firenze, Italy 50127;CNR Institute of Clinical Physiology, Pisa, Italy 56124;CNR Institute of Clinical Physiology, Pisa, Italy 56124;CNR Institute of Clinical Physiology, Pisa, Italy 56124
Venue:
MDA '08 Proceedings of the 3rd international conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
Year:
2008

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Abstract

Due to the absolute value involved, the first absolute central moment can be divided into two complementary filters: a positive deviation epand a negative deviation en. Both epand encan be used separately to highlight edges, lines, line endings, corners and junctions in images. Furthermore, the recovered edge information can be usefully combined to obtain additional information that would not be obtained by varying the parameters of the original filter. The mass center of the first absolute central moment can be also defined and an iterative localization procedure can be developed by exploiting its properties. Mathematical operators derived from the first absolute central moment were used on a video processing device based on a DSP board and they proved to be robust and suitable for real-time implementations.