Indian Journal of Science and Technology

Abstract

Objective: In the manufacturing industry, the surface roughness places a vital role to make a quality product. The surface roughness is measured by line contact and non-contact methods till now. In this paper, we propose a non-contact method of surface roughness measurement using the optical coherent method. Methods/Statistical Analysis: In the optical coherent method, a radial basis algorithm is used. So far surface roughness is evaluated for an overall region of the material. The standard specimen image was taken using web camera and processed, analysed and compared with the images of the specimen to be tested using MATLAB software. Findings: By using a radial basis algorithm, we found that micro irregularities surfaces in the material are detected, and depth of penetration of lights over the material will detect the micro irregularities and measure the surface roughness automatically. Application/Improvements: Here the images were taken using web camera having Complementary Metal Oxide Semiconductor (CMOS) sensor that can be replaced by taking images using a high resolution Charged Coupled Devices (CCD) camera to improve the accuracy of results. Now a days, smart cameras are available in the market, hence the speed of the processing the images can be achieved.
Keywords: Machine Vision; MATLAB Software; PIC Microcontroller; Pneumatic Control System