Morfologia matemática

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DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY

Fabricio Leonardi
Erivaldo Antônio da Silva
Faculdade de Ciências e Tecnologia – FCT/UNESP – Depto de Cartografia
Rua Roberto Simonsen, 305 – Campus Universitário - 19060-900 Presidente Prudente – SP – Brazil leonardibr@gmail.com, silva.erivaldo@gmail.com

ABSTRACT

The cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography.

1. INTRODUCTION

The requirement of alternative methods to update many areas in cartography in Brazil leads to the source for fast and economic methods. According to Lillesand & Kiefer (1987), Remote Sensing can be defined as being the science and art able to offer information on an object, an area or phenomenon useful for analysis of the data gotten with great success without any physical contact with this object, this area or this phenomenon. Amongst the great versatility involved in the Digital Processing of Images (PDI) that could be used in this research, the theory of the Mathematical Morphology was chosen, taking into consideration the research developed by

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