Detection of defect on finished fabrics and their classification based on their appearance plays a vital role in inspection of both hand-woven and machine woven fabrics. Generally the defect detection process is carried out by making use of the manual effort, during which some of fabric defects are very small and undistinguishable and can be identified only by monitoring the variation in the in...

In the majority of semiconductor manufacturing, the visual inspection process of the wafer surface depends on human experts. However, the inefficiencies of human visual inspection has led to the development of image process to perform inspection tasks. The occurrence of different type of defect arises from the manufacturing processed variations, like miss-out calibration or poor maintenance of ...

Occurrence of a multiple-points fault in machine operations could result in exhibiting complex fault signatures, which could result in lowering fault diagnosis accuracy. In this study, a multiple-points defect model (MPDM) is proposed which can simulate fault signature’s dynamics for n-points bearing faults. Furthermore, this study identifies that in case of multiple-points fault in the rotary ...

The efficiency of defect detection for filters and wavelets is a fundamental problem in image processing. It has recently been shown that natural symmetries such as rotational invariance is of primary importance to solve this problem [1, 2]. We herewith investigate the detection of tunable singularities in natural textures from the Brodatz database and in parts of mammographies. We compare seve...

This paper focuses on identifying defects in a handloom silk fabric using image analysis techniques such as first order statistical features. Any disparity in the knitting process that leads to an unpleasant appearance or dissatisfaction of the customer is termed as a defect in the fabric. Even today, the defect detection in a silk fabric is done using skilled manual labour. An automated defect...

One of the most challenging scientific industrial problems in recent years is automatic defect detection and characterization. Automatic defect detection can replace human operators who locate and identify defects. Detection of defects in the steam generating tubes through periodic inservice inspection is one of the most significant issues of the fast breeder reactors. Among various pipeline in...

Local binary patterns (LBPs) are one of the features which have been used for texture classification. In this paper, a method based on using these features is proposed for fabric defect detection. In the training stage, at first step, LBP operator is applied to an image of defect free fabric, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows a...

Fusion of NDT techniques has proven to increase the capability and reliability of defect detection thus improve inspection results. It can also provide solution for the limitations posed by a single NDT technique in acquiring the intended information and so achieving the required inspection efficiency. Eddy current thermography is an emerging technology in advanced NDT, which provides and alter...

oil and gas transmission pipelines are critical items of infrastructure in providing energy sources to regions and countries. steel pipes are commonly used which can be subject to both internal and external corrosion. this paper presents an advanced nondestructive inspection technique for detection of oil-gas pipeline corrosion defect. the pulsed eddy current (pec) method has been successfully ...

The basic motivation for software inspections is to detect and remove defects before they propagate to subsequent development phases where their detection and removal becomes more expensive. To maximize this potential, the examination of the artefact under inspection must be as thorough and detailed as possible. This implies the need for systematic reading techniques that tell inspection partic...