Geometric search technique for surface roughness evaluation using machine vision

Govindan Puthumana, B. Dhanasekar, B. Ramamoorthy

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The importance of geometric search approach using computer vision techniques to inspect surface roughness has been reported in this paper. The surface images of the components are first acquired using a machine vision system and then the features of the surface images are enhanced. A new geometric search technique is applied to enhance the quality of images for quantification of surfaces, which can cope up with the process variations and adverse conditions in a CIM environment, and then the performance of these images were compared with the application of other commonly used filters. The two methods were used for evaluating the surface finish of components generated using shaping process viz. Regression analysis and Polynomial networks. The surface finish values obtained using these two methods after applying geometric search technique for images are compared with the estimated roughness values using images without applying geometric search. The estimated roughness values using machine vision images and that measured using stylus approach were finally compared and analyzed in this work.
Original languageEnglish
Title of host publicationVDI Berichte
Volume1860
PublisherVDI-Verlag
Publication date2004
Pages93-100
ISBN (Electronic)00835560
Publication statusPublished - 2004
Externally publishedYes
SeriesV D I - Berichte
ISSN0083-5560

Fingerprint Dive into the research topics of 'Geometric search technique for surface roughness evaluation using machine vision'. Together they form a unique fingerprint.

Cite this