Experiments and evaluations of rule based methods in image analysis

The authors describe applications and give evaluations of rule-based methods for image analysis. They used rule-based programming methods for two image-analysis applications: segmenting and interpreting images of printed circuit boards, and segmenting satellite images of ice floes. Such problems are often divided into low-, mid-, and high-level processing, and they consider rule-based, or declarative, programming at the mid and high levels. They used Knowledge Tool, an OPS-like language that allows an excellent mix of procedural and declarative code. This ability to mix procedural and declarative code was very useful, but the authors nevertheless found limitations using the rule-based programming model. They describe these and list characteristics of image problems in which declarative coding can be applied.<<ETX>>