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A vision-based surface roughness measurement using a geometric search technique


Article Information

Title: A vision-based surface roughness measurement using a geometric search technique

Authors: N. Nithyanantham, K. Prathapchandran, P. Suresh

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2019

Volume: 14

Issue: 2

Language: English

Categories

Abstract

Machined surfaces are made by various machining processes each subsequent to a trademark surface on the machined surface. In the machined surfaces the surface additionally varies in view of the sort of cutting parameters, machining hardware and condition. Surface harshness estimating sets up high outcome in the business. Pictures of surfaces caught utilizing vision framework can be utilized to recognize, investigate and measure surface after the usage of value change calculations. Dissimilar to the stylus instruments, the PC vision frameworks have the upsides of being non-contact and are equipped for estimating a zone of the surface instead of a solitary line, which makes it a three dimensional assessment. In this work, optical surface harshness parameter 'Ga' has been acquired from a picture and is contrasted and broadly utilized traditional normal surface unpleasantness 'Ra' got from the stylus device for processed and formed surfaces. All work pieces are made to various roughness’s utilizing different manufacturer forms which incorporate molding, processing and crushing. The surface pictures are snatched utilizing a charge coupled device (CCD) camera and after that exchanged to the computer workstation through an edge grabber. Subsequent to pre-processing, the geometric search investigation procedure is connected to improve the nature of pictures. At that point the optical surface parameter Ga is computed for all the surface images. These Ga esteems have been contrasted and the individual Ra esteems estimated utilizing stylus device.


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