Title :
An experimental comparison of software methodologies for image based quality control
Author :
Guglielmi, Nicola ; Guerrieri, Roberto
Author_Institution :
Dipartimento di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
Abstract :
In this paper we study the cost structure of a software system for the visual classification of industrial parts. We investigate two different development methodologies and compare them using a suitable cost function. The first approach aims to the development of a piece of software fully tailored to the specific problem, while the second one exploits the capabilities of adaptive signal processing techniques to reduce the software production test
Keywords :
automatic optical inspection; image classification; quality control; neural networks; quality control; quality-control; signal processing; software engineering; software methodologies; statistical pattern recognition; visual classification; Costs; Fluorescence; Inspection; Magnetic analysis; Magnetic materials; Magnetic particles; Neural networks; Quality control; Software metrics; Software quality;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.398115
