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Master's Dissertation
DOI
https://doi.org/10.11606/D.76.1997.tde-13052010-145939
Document
Author
Full name
Maximiliam Luppe
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 1997
Supervisor
Committee
Roda, Valentin Obac (President)
Marques, Eduardo
Saito, Jose Hiroki
Title in Portuguese
Desenvolvimento de um processador pipeline dedicado para extração de bordas em tempo real
Keywords in Portuguese
Arquitetura
Detecção de bordas
Processamento de imagens
Tempo real
Vídeo composto
Abstract in Portuguese
A detecção de bordas é um primeiro passo importante no processamento digital de imagens, pois permite separar blocos distinto presentes em uma imagem. O desenvolvimento de sistemas autônomos que realizem tarefas a partir de informações visuais necessitam que o processamento destas seja realizado em tempo real. Este trabalho descreve a implementação de um processador, baseado numa arquitetura pipeline e no operador de máscara chamado Cruz de Roberts, dedicado para a extração de bordas em tempo real de imagens de vídeo. Tanto a entrada como a saída dos dados são em formato de vídeo composto monocromático padrão e foram utilizados circuitos digitais discretos para a implementação do processador. Os resultados são apresentados em forma de imagens e estas são comparadas com os resultados obtidos através de programas que realizam a detecção de bordas.
Title in English
Development of a dedicated pipeline processor for real time edge extraction
Keywords in English
Architecture
Composite video
Edge detection
Image processing
Real time
Abstract in English
Edge detection is the first important step in digital image processing which allows to separate the distinct blocks present in an image. The development of automatic systemswhich perform operations from visual information need real time processing. This work describes the implementation of a pipeline processor based in the Robert's Cross mask operator, dedicated to extract edges from video images in real time. Both input and output video signals are monochromatic. Common digital circuits have been used to implement the processor. The results obtained are presented as images and are compared with edge detected images obtained from comercial software.
 
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MaximiliamLuppeM.pdf (3.52 Mbytes)
Publishing Date
2010-05-17
 
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