Surface roughness is commonly used to characterize material microstructure during
processing, and accurate measurement of surface roughness is the premise and foundation …

In this work, we developed new scripts to calculate the lacunarity exponent and Moran's
index of Atomic Force Microscopy (AFM) images. The lacunarity exponent was estimated by …

The surfaces produced by electrical discharge machine (EDM) were illuminated using a
redline laser source and the speckle line images of the specimens were captured using a …

Correlation between 3D surface roughness and characteristic features extracted from laser
speckle pattern was done using an inexpensive laser pointer and a digital single lens reflex …

Usually, corrosion processes on brass, which are manifested by discoloration of the metal or
alloy surface, are a little destructive and slow in natural environment or non-acid solutions. In …

Abstract Classification based on Machine Learning (ML) algorithms has received particular
attention in many fields. By associating speckle patterns of depolarized light produced by …

Current studies are focused on the correlation between characteristic features extracted from
the laser speckle pattern of machined surfaces and 2D surface roughness parameters …

With the wide use of cold-rolled strips, the conventional contact measurement of strip surface
roughness cannot meet the requirements of nondestructiveness, high precision, short …

The surface roughness of a machined metal surface is crucial to its appearance and
performance. There are hardly any in‐situ methods for surface roughness measurement of …

This paper deals with selected contact type stylus method and non-contact type machine
vision method using laser speckle for components prepared by grinding of AISI 1040 steel …