A High-Precision Fusion Algorithm for Fabric Quality Inspection

Automated Fabric Defect Inspection for Quality Assurance Systems

Existent industrial applications of computer vision systems are directly connected to quality assurance requirements. The task of fabric defect detection is carried out by human visual inspection, in most of the traditional textile industry. The possibility of automated defect detection is investigated and a solution leading to improved productivity and high quality in the weaving process is pr...

A high precision algorithm for axisymmetric flow

We present a new algorithm for highly accurate computation of axisymmetric potential flow. The principal feature of the algorithm is the use of orthogonal curvilinear coordinates. These coordinates are used to write down the equations and to specify quadrilateral elements following the boundary. In particular, boundary conditions for the Stokes’ stream-function are satisfied exactly. The veloci...

Automation Technology for Fabric Inspection System

Quality Inspection and Quality Improvement by Map Fusion

In this paper a new approach for quality measurement and improvement using map matching and map fusion is introduced. In the first part we describe a matching model based on “Buffer growing”. The matching, which is the basis for the quality inspection and the map fusion, is performed manually with a tool developed with VBA and ArcGIS. The quality inspection can be subdivided into a global and a...

Precision Fabric Production in Industry

This chapter describes different types of textile structures suited for smart textiles and gives a short overview of production methods for weaved, knitted, and nonwoven fabrics.