Surface Measurement Techniques in Machine Vision

Abstract

Surface measurement systems (SMS) allow accurate measurements of surface geometry for three-dimensional computational models creation. There are cases where contact avoidance is needed; these techniques are known as non-contact surface measurement techniques. To perform non-contact surface measurements there are different operating modes and technologies, such as lasers, digital cameras, and integration of both. Each SMS is classified by its operation mode to get the data, so it can be divided into three basic groups: point-based techniques, line-based techniques, and area-based techniques. This chapter provides useful information about the different types of non-contact surface measurement techniques, theory, basic equations, system implementation, actual research topics, engineering applications, and future trends. This chapter is particularly valuable for students, teachers, and researchers that want to implement a vision system and need an introduction to all available options in order to use the most convenient for their purpose.

Automatic and Efficient Metallic Surface Defect Detection Based on Key Pixel Point Locations

“…URFACE defect detection is a key process for the assembly in many industrial applications, such as circuit assembly, PCB detection, steel production, and semiconductor industry [1] [2]. With the development of surface measurement techniques in machine vision, surface defect detection has gained impetus over the last ten years [3]. The low efficiency and high cost of conventional manual inspection cannot meet the requirements of high-quality inspection.…”