Present work is an experimental investigation is presented for accomplishing surface texture analysis using machine vision based system for measuring the condition of cutting tool. Analysis of machined surface images of different materials by turning and shaping process at different wear conditions cutting tool, grabbed using CCD camera are presented. An amplitude parameters based approach for analysis of machined surfaces is proposed. Machined surfaces with different wear conditions of the cutting tool i.e., sharp, semidull and dull are investigated by using surface metrology software and also with conventional method using stylus instrument for comparative purpose. However, considerably less work has been performed on the development of surface texture of machined work piece that provide information on the condition of the cutting tool, employed in machining the surface. A non contact method using machine vision is presented for inspecting surface roughness. A strong correlation between tool wear and surface roughness of the machined surfaces is found.It is proved that,this approach is effective in measuring the condition of the cutting tool through amplitude parameters.

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B.Srinivasa Prasad received a Master's in Production Engineering from SV University, Tirupati, India. He has more than nine years experience in teaching at UG and PG level. Presently, his Ph.D thesis is under review. At present working as an Assistant Professor in Mechanical Engg dept.,G.I.T, GITAM University, Visakhapatnam, India-530045.