To improve the accuracy and speed of the fabric defect detection, a novel and automated algorithm is proposed in this paper. The method is based on the Stcokwell transform (or S-transform, ST), a mathematical operation that provides the frequency content at each time point within a time-varying signal. Firstly, gray level integral projection is performed on the fabric image data to obtain a one...

We present a live web defect detection and classification system that runs on a Laptop PC with an attached camera. Features, invariant with respect to rotation and translation based on local integration are extracted from the grabbed images. They are then presented to a neural network for classification.

To automatically detect SMT (surface mount technology) electronic modules, algorithms are investigated for geometry and shape features, module matching and detection in PCB (printed-circuit board) components. First, geometry and shape features of SMT electronic modules are presented. Then matching technology and process for SMT electronic modules are studied through optimization searching algor...

In this paper we present an approach to defect detection in images based on machine learning algorithms. A qualitative model of defect has been devised based on human experience. A set of vision primitives measuring defect features has been deened. Objects in images candidate to be classiied as defects are submitted to automatic classiication, which is achieved with learning by examples algorit...

Fault links represent relationships between the types of code faults, or defects, and the types of components in which faults are detected. For example, our prior work validated that a fault link exists between Controller components and Control/Logic faults (such as unreachable code). Fault link information can guide code reviews, walkthroughs, testing, maintenance, and can advise fault seeding...

In this paper, a new Haar wavelet-based approach to the detection and localization of defects in grey-level texture images is presented. This new approach explores space localization properties of the discrete Haar wavelet transform (HT) and generates statistically-based parameterized texture defect detection criteria. The criteria provide the user with a possibility to control the percentage o...

Image textural analysis technology has been widely used in the design of automated defect detection systems. Because the presence of defects may change the textural features of an image, a reference image without defects can be compared with the test image to detect whether there are any defects. However, besides defects, the deflection of the input test image could also change its textural fea...

Thermal images of surfaces can be readily obtained by non‐destructive means, making them particularly suitable for failure analysis like hot‐spot detection. Here, a custom‐built defect‐detecting apparatus, which enables the simultaneous acquisition visual and thermal micro‐LED displays, will introduced to enhance reliability effectiveness defect analysis.