Algorithms for automated inspection

Automated Software Inspection

uality is an elusive goal throughout the software development industry. The common assumption is that there simply is no efficient way to improve quality without significantly lengthening the development cycle, increasing development costs, or both. Releasing quality software on schedule and on budget is almost impossible. Ever-shorter development cycles, limited engineering and QA resources, a...

Corrosion Detection for Automated Visual Inspection

Image Fusion for Automated Visual Inspection

ion levels for image fusion The fusion of an image series can take place on different abstraction levels (Fig. 1): • Within a data-level fusion (pixel-level fusion), the combination takes place at the level of the image data, i.e. the gray or RGB values. The precondition of a data fusion is that the images have been recorded with homogeneous sensors.

Automated surface inspection for statistical textures

In this paper we present a global approach for the automatic inspection of defects in randomly textured surfaces which arise in sandpaper, castings, leather, and many industrial materials. The proposed method does not rely on local features of textures. It is based on a global image reconstruction scheme using the Fourier transform. Since a statistical texture has the surface of random pattern,...

Data fusion for automated non-destructive inspection

In industrial non-destructive evaluation (NDE), it is increasingly common for data acquisition to be automated, driving a recent substantial increase in the availability of data. The collected data need to be analysed, typically necessitating the painstaking manual labour of a skilled operator. Moreover, in automated NDE a region of an inspected component is typically interrogated several times...