Digital Image Processing for Evaluating Defect Level in Visual Quality Inspection

The traditional construction industry dilemma concerns the definition of an overall quality standard and acceptable level especially in aesthetic issue because some work items in visual inspection are difficult to measure the absolute defect quantity. These are limited by using human vision inspection. In current practice, the visual quality inspection is still relied on individual subjective judgment. It causes several problems such as multiple-standards and unreliability. Thus, this research paper presents an innovative visual inspection system that uses the digital image processing (DIP). It attempts to reduce the human subjective measure and enhance the reliability for evaluating the defect level. The digital image processing helps to interpret from image data to features of inspected object. It helps to solve the human vision limitation in unknown of absolute defect quantity. Moreover, this paper presents the allow representation of long-gathered knowledge, and its use to solve the decision problems.