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.