Texture Feature Analysis of Milled Components Using Vision System

D.M. Shivanna; S.D. Kavitha; M.B. Kiran

doi:10.4028/www.scientific.net/AMR.845.745

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 845Texture Feature Analysis of Milled Components...

Texture Feature Analysis of Milled Components Using Vision System

Abstract:

Surface texture assessment is very useful in predicting the functional behaviour of engineering components. Surface texture is composed of three elements-roughness, waviness and form Error. The proposed method analyzes surface texture in two ways-Subjective analysis and Objective analysis. Subjective analysis makes use of histogram and texture spectrum whereas objective analysis uses Grey Level Co-occurrence Matrix (GLCM) based standard texture descriptors. Different milled surfaces having different textures are prepared by varying the machining parameters. The proposed method is non-contact in nature and high measuring speeds are possible. The method provides a complete texture description for a given surface.

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Periodical:

Advanced Materials Research (Volume 845)

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745-749

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.845.745

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Online since:

December 2013

Authors:

D.M. Shivanna, S.D. Kavitha, M.B. Kiran

Keywords:

Surface Inspection, Surface Texture, Texture Classification, Texture Features, Vision System

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