Texture Feature Analysis of Milled Components Using Vision System

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.