![chac inspection results chac inspection results](https://i.ytimg.com/vi/_cO0-WszD0g/maxresdefault.jpg)
It is very robust because in first step it identifies potential defects in each view and in second step it finds correspondences between potential defects, and only those that are matched in different views are detected as real defects. The method is opening up new possibilities in inspection field by taking into account the useful information about the correspondence between the different views.
![chac inspection results chac inspection results](http://www.koreanwaronline.com/history/Mortars/2/0125.jpg)
For these reasons, we proposed a novel methodology, called Automated Multiple View Inspection, that uses redundant views of the test object to perform the inspection task. Additionally, detection accuracy should be improved, because there is a fundamental trade off between false alarms and miss detections. However, the developed approaches are tailored to the inspection task, i.e., there is no common approach applicable to all cases because the development is an ad hoc process. Many research directions in this field have been exploited, some very different principles have been adopted and a wide variety of algorithms have been appeared in the literature. Moreover, the database can be used in the training programs of human inspectors.Īutomated visual inspection of metal castings is defined as a quality control task that determines automatically if a casting deviates from a given set of specifications using visual data. On the other hand, these images can be used as a benchmark in order to test and compare the performance of different approaches on the same data. On the one hand, students, researchers and engineers can use these X-ray images to develop, test and evaluate image analysis and computer vision algorithms without purchasing expensive X-ray equipment. The images are organized in a public database called $$\mathbb $$GDXray represents a relevant contribution to the X-ray testing community. In this paper, we present a new dataset consisting of 19,407 X-ray images. Moreover, the database can be used in the training programs of human inspectors. We believe that GDXray represents a relevant contribution to the X-ray testing community. The size of GDXray is 3.5 GB and it can be downloaded from our website. In such cases, the coordinates of the bounding boxes of the objects of interest or the labels of the images are available in standard text files.
#Chac inspection results series#
Most of the series are annotated or labeled. Each group has several series, and each series several X-ray images. The database includes five groups of X-ray images: castings, welds, baggage, natural objects and settings.
#Chac inspection results free#
The images are organized in a public database called GDXray that can be used free of charge, but for research and educational purposes only.
![chac inspection results chac inspection results](https://s28490.pcdn.co/wp-content/uploads/2020/08/annual-inspection-II_11-1392x932.jpg)