Defect inspection plays a critical role in thin film transistor liquid crystal display (TFT-LCD) manufacture, and has received much attention in the field of automatic optical inspection (AOI). Previously, most focus was put on the problems of macro-scale Mura-defect detection in cell process, but it has recently been found that the defects which substantially influence the yield rate of LCD pa...

[1] The present empirical models describing a location and shape of the magnetopause and bow shock are based on a statistical evaluation of magnetopause and bow shock crossings. The crossings are usually identified by a visual inspection of the plots or by automatic methods which are less reliable. We present a new method of determination of the most probable boundary locations. The method is b...

Automated fabric inspection system is important to prevent delivering of inferior quality fabric and designed to increase the accuracy, consistency and speed of defect detection in fabric manufacturing process to reduce labor costs, improve product quality and increase manufacturing efficiency. Fabric inspection is still carried out offline and manually by humans with many drawbacks such as tir...

Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject's vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of t...

Inspection of high-voltage power lines using unmanned aerial vehicles is an emerging technological alternative to traditional methods. In the Drones4Energy project, we work toward building autonomous vision-based beyond-visual-line-of-sight (BVLOS) line inspection system. this paper, present a deep learning-based vision system detect faults in components. We trained YOLOv4-tiny architecture-bas...

BACKGROUND Rac1 is a GTP-binding molecule involved in a wide range of cellular processes. Using digital image analysis, agonist-induced translocation of green fluorescent protein (GFP) Rac1 to the cellular membrane can be estimated quantitatively for individual cells. METHODS A fully automatic image analysis method for cell segmentation, feature extraction, and classification of cells accordi...

This article presents an approach for finding displacements of print layers from sequences of sample images semiautomatically with the aim to simplify and shorten the setup of inspection systems for printing processes in which the perfect alignment of print layers cannot be guaranteed. The basic idea behind the proposed approach is to identify pixels which are likely to have the same displaceme...

A biologically inspired spiking neural network model, called pulse-coupled neural networks (PCNN), has been applied in an automatic inspection machine to detect visible foreign particles intermingled in glucose or sodium chloride injection liquids. Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity....

Machine vision has substantial potential, allowing us to implement reliable and flexible solutions for various tasks such as inspection, surface quality analysis, object detection, etc. In this paper we present a real-time system for automatic detection and registration of watermarks from continuous web paper. This is an important issue in papermaking since the manufacturers require the waterma...

This paper presents a toolbox that has been developed in order to facilitate the inspection of suspected music plagiarism cases. The basic concept is the use of techniques from Music Information Retrieval for semi-automatic inspection of original and suspect song. Basic types of music plagiarism are discussed. Several signal processing approaches suitable to reveal these types are introduced. T...