A major issue for fabric quality inspection is in the detection of defaults, it has become an extremely challenging goal textile industry to minimize costs both production and inspection. The currently done manually by professionals; hence need implementation a fast, powerful, robust, intelligent machine vision system order achieve high global quality, uniformity, consistency fabrics increase p...

Abstract As a core component of the Marine engine, crankshaft crank is required to have high surface quality ensure that ship does not fail during voyage. After analysing defect characteristics, aiming at problems such as inaccurate detection single feature in bend defect, which leads poor effect, classification method based on machine vision was proposed. The recognition accuracy can reach 97....

Surface defect detection for printed circuit board (PCB) is indispensable managing PCB production quality. However, automatic of surface defects still a challenging task because, even within the same category defect, present great differences in morphology and pattern. Although many computer vision-based detectors have been established to handle these problems, current struggle achieve high acc...

Laser ultrasonic defect detection and classification has been widely used in engineering and material defect detection, so detecting and classifying the defect targets accurately is significant. In order to obtain the higher classification accuracy, an improved support vector machine (SVM) based on particle swarm optimization algorithm is used as classifier in this paper. To search the optimal ...

Infrared temperature sensors, simple device for temperature measurement, have been modified for the measurement of temperature distribution on the metal surface in a way of nondestructive detection of defects of the object. In this study, the IR sensor system is utilized for the defect detection in a cylinder with one point heating, and the performance of the system is examined with an aluminum...

This study examines the prediction of print defect perception (banding) of the human visual system (HVS) by combining detection probabilities of contrast components from wavelet and sinusoidal decompositions of defect patterns. Detection probabilities for basis function components are obtained from subjective tests. Prediction performance is presented in terms of the deviation of the contrast t...

In this paper, a novel idea is proposed for fabric defect detection. Defects are detected in the fabric using steerable pyramid along with a defect detection algorithm. Various steerable pyramid of four size 256*256, 128*128, 64*64, 32*32 and with four orientation bands 0,45, 90, 135 are used. Utilizing a Steerable pyramid proved adequate in the representation of fabric images in multi-scale an...