International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 60 - Number 14 |
Year of Publication: 2012 |
Authors: Mehmet Sabih Aksoy, Orhan Torkul, Abdullah Almudimigh, Ismail H. Cedimoglu |
10.5120/9758-0819 |
Mehmet Sabih Aksoy, Orhan Torkul, Abdullah Almudimigh, Ismail H. Cedimoglu . Applications of Inductive Learning to Automated Visual Inspection. International Journal of Computer Applications. 60, 14 ( December 2012), 8-12. DOI=10.5120/9758-0819
In recent years, there has been a growing amount of research on inductive learning and its applications to different domains. Out of this research a number of promising algorithms have surfaced. Inductive learning algorithms are domain independent. In principle, they can be used in any task involving classification or pattern recognition. In this paper a number of applications of RULES family of induction algorithms to visual inspection are presented. The main advantages of using induction for visual inspection are: (a) The systems does not suffer from orientation problem which is very important for digital image processing. (b) The pattern does not have to be stored in the memory in graphics form because they are represented by rules. This saves memory space. (c) The decision can be reached in short time because the number of conditions in each rule and the total number of rules are not big. (d) It is easy to develop a software and design a hardware for these systems as they are not complicated.