
Proceedings Paper
Measuring the complexity of design in real-time imaging softwareFormat | Member Price | Non-Member Price |
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Paper Abstract
Due to the intricacies in the algorithms involved, the design of imaging software is considered to be more complex than
non-image processing software (Sangwan et al, 2005). A recent investigation (Larsson and Laplante, 2006) examined
the complexity of several image processing and non-image processing software packages along a wide variety of
metrics, including those postulated by McCabe (1976), Chidamber and Kemerer (1994), and Martin (2003). This work
found that it was not always possible to quantitatively compare the complexity between imaging applications and nonimage
processing systems. Newer research and an accompanying tool (Structure 101, 2006), however, provides a
greatly simplified approach to measuring software complexity. Therefore it may be possible to definitively quantify the
complexity differences between imaging and non-imaging software, between imaging and real-time imaging software,
and between software programs of the same application type.
In this paper, we review prior results and describe the methodology for measuring complexity in imaging systems. We
then apply a new complexity measurement methodology to several sets of imaging and non-imaging code in order to
compare the complexity differences between the two types of applications. The benefit of such quantification is far
reaching, for example, leading to more easily measured performance improvement and quality in real-time imaging
code.
Paper Details
Date Published: 26 February 2007
PDF: 6 pages
Proc. SPIE 6496, Real-Time Image Processing 2007, 64960A (26 February 2007); doi: 10.1117/12.705079
Published in SPIE Proceedings Vol. 6496:
Real-Time Image Processing 2007
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)
PDF: 6 pages
Proc. SPIE 6496, Real-Time Image Processing 2007, 64960A (26 February 2007); doi: 10.1117/12.705079
Show Author Affiliations
Raghvinder S. Sangwan, The Pennsylvania State Univ. (United States)
Pamela A. Vercellone-Smith, The Pennsylvania State Univ. (United States)
Pamela A. Vercellone-Smith, The Pennsylvania State Univ. (United States)
Phillip A. Laplante, The Pennsylvania State Univ. (United States)
Published in SPIE Proceedings Vol. 6496:
Real-Time Image Processing 2007
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)
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