In recent years, brain magnetic resonance imaging (MRI) image segmentation has drawn
considerable attention. MRI image segmentation result provides a basis for medical …

Accurate and reliable automatic defect detection of semiconductor laser plays an important
role in the application and development of optical communication technology, but the …

The texture features of the grinding surface are not obvious, when the light source
environment and shooting angle change, the prediction model of grinding surface …

Microscopic images of surfaces can be used for non-contact roughness measurement by
visual methods. However, the images are usually acquired manually and need to be as …

Existing roughness machine vision inspection methods based on designed indices require
the artificial construction of features associated with roughness based on image information …

Current machine vision methods for surface measurement rely excessively on feature
design to quantify surface morphology and build predictive models, but metric design suffers …

Improvement of the surface quality of machined parts is essential in order to avoid excessive
and costly post-processing. Although non-conventional processes can efficiently carry out …

Due to the fuzzy c-means (FCM) clustering algorithm is very sensitive to noise and outliers,
the spatial information derived from neighborhood window is often used to improve its image …

Presently, variations in light source brightness significantly affect visual roughness
measurement methods. To tackle this, a Full-reference imaging approach (FRI) is introduced …

Due to the problem of single factor and no benchmark in the design of image characteristic
index, the measurement results of machine vision-based grinding surface roughness …