A fully automated, non-contacting, full field method is presented to measure the surface roughness parameters using a computer vision system and image processing techniques. The texture features, namely, coarseness, contrast and roughness are extracted from digitized images of standard surface roughness comparator plates and correlated with the arithmetic average roughness (Ra) of the surface. The vision, system offers a fast and accurate method for the on-line automated surface roughness inspection of machined components
In manufacturing engineering the surface finish of a machined component is of fundamental importance...
To enable fully automated robotic grinding of random shape metal surfaces, it is helpful if surface ...
The surface texture assessment technique involves the use of a He-Ne laser to illuminate a rough sur...
A surface roughness measurement technique, based on an area measurement method using a computer visi...
AbstractSurfaces of industrial parts need to be specified based on their utility and application env...
In this paper, a comparative experimental surface roughness measurement method based on the speckle ...
AbstractSurface roughness evaluation is very important for many fundamental problems such as frictio...
Measurement of surface roughness after completion of a machining process is a common procedure unde...
Image processing sensor systems can inspect workpiece surfaces in quality monitoring as long as it i...
The commonly used method for surface roughness measurement in industrial applications is the direct ...
Surface roughness monitoring techniques using non-contact methods based on computer vision technolog...
Abstract: Measuring surface roughness is vital to quality control of the machined workpiece. In rece...
Surface speckle pattern intensity distribution resulting from laser light scattering from a rough su...
Measurement of surface roughness is one of the quality control processes, usually carried out off li...
Abstract. A new method is presented for the measurement df surface roughness in the range R. ~ 0·05-...
In manufacturing engineering the surface finish of a machined component is of fundamental importance...
To enable fully automated robotic grinding of random shape metal surfaces, it is helpful if surface ...
The surface texture assessment technique involves the use of a He-Ne laser to illuminate a rough sur...
A surface roughness measurement technique, based on an area measurement method using a computer visi...
AbstractSurfaces of industrial parts need to be specified based on their utility and application env...
In this paper, a comparative experimental surface roughness measurement method based on the speckle ...
AbstractSurface roughness evaluation is very important for many fundamental problems such as frictio...
Measurement of surface roughness after completion of a machining process is a common procedure unde...
Image processing sensor systems can inspect workpiece surfaces in quality monitoring as long as it i...
The commonly used method for surface roughness measurement in industrial applications is the direct ...
Surface roughness monitoring techniques using non-contact methods based on computer vision technolog...
Abstract: Measuring surface roughness is vital to quality control of the machined workpiece. In rece...
Surface speckle pattern intensity distribution resulting from laser light scattering from a rough su...
Measurement of surface roughness is one of the quality control processes, usually carried out off li...
Abstract. A new method is presented for the measurement df surface roughness in the range R. ~ 0·05-...
In manufacturing engineering the surface finish of a machined component is of fundamental importance...
To enable fully automated robotic grinding of random shape metal surfaces, it is helpful if surface ...
The surface texture assessment technique involves the use of a He-Ne laser to illuminate a rough sur...