Implementation of Image Diagnostic Support Systems for Coating of Steel Structure

Abstract

This study aims to construct a deterioration diagnosis support system for coating of steel structures. This system is comprised of two main image-processing components (Phase I and II). Phase I is a component to detect deterioration spots of coating, based on the core-extraction clustering method with SOM. Phase II is a component to evaluate deterioration level of coating, whose input date is generated by Phase I, i.e., Phase I and II are sequentially connected. Estimation provided by Phase II is represented by fuzzy sets such as (Level A, B, C) = (0.0, 0.6, 0.3)