Automatic Detection of Paper Defects

Automatic Detection of PCB Defects

A Printed Circuit Board (PCB) is everywhere from a small toy to a big electronic machine which we used in our daily life. PCB consists of circuit with various electronic components mounted on surface. PCB manufacturing consists of three stages in which inspection of PCB necessary to reduce the defects. First is printing, second is component fabrication over PCB surface and third is the componen...

Automatic Detection, Classification and Restoration of Defects in Historical Images

Automatic Detection of Defects in Applications without Test Oracles

In application domains that do not have a test oracle, such as machine learning and scientific computing, quality assurance is a challenge because it is difficult or impossible to know in advance what the correct output should be for general input. Previously, metamorphic testing has been shown to be a simple yet effective technique in detecting defects, even without an oracle. In metamorphic t...

Automatic detection of welding defects using texture features

In this paper we present a new approach to detecting weld defects from digitalised films based on texture features. Texture is one of the most important features used in recognising patterns in an image. However, these features are not yet commonly exploited in the analysis of X-ray images in NDT. The paper describes two groups of widely used texture features: 1) features based on the cooccurre...

Automatic image-based detection of paper fiber ends

Understanding the properties of paper fibers and paper fiber bonds can be really significant in improving the quality of paper. The problem in gathering measurement data from individual paper fibers is the lack of reliable and efficient research instruments. Also, without automation the yield of experiments will be low and the results will depend on the skills of the operator. This paper presen...