DocumentCode :
2700625
Title :
A machine vision extension for the Ruby programming language
Author :
Wedekind, J. ; Amavasai, B.P. ; Dutton, K. ; Boissenin, M.
Author_Institution :
Microsyst.&Machine Vision Lab., Sheffield Hallam Univ., Sheffield
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
991
Lastpage :
996
Abstract :
Dynamically typed scripting languages have become popular in recent years. Although interpreted languages allow for substantial reduction of software development time, they are often rejected due to performance concerns. In this paper we present an extension for the programming language Ruby, called HornetsEye, which facilitates the development of real-time machine vision algorithms within Ruby. Apart from providing integration of crucial libraries for input and output, HornetsEye provides fast native implementations (compiled code) for a generic set of array operators. Different array operators were compared with equivalent implementations in C++. Not only was it possible to achieve comparable real-time performance, but also to exceed the efficiency of the C++ implementation in several cases. Implementations of several algorithms were given to demonstrate how the array operators can be used to create concise implementations.
Keywords :
C++ language; authoring languages; computer vision; specification languages; C++ language; HornetsEye; Ruby programming language; array operator; computer vision; image processing; machine vision extension; real-time machine vision algorithm; typed scripting language; Automation; Cameras; Computer languages; Hardware; Laboratories; Machine vision; Object recognition; Open source software; Signal processing algorithms; Software libraries; Computer Vision; Image Processing; Signal Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608143
Filename :
4608143
Link To Document :
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