International Science and Technology Journal

This study presents the results of testing the sensitivity of one of Edge Defining Techniques to the roughness of the surfaces of mechanical works. It is one of the low-cost computer vision technologies. An aluminum alloy was chosen for its high reflectivity of light and easiness of machining. The samples were machined with different under different cutting variables to get different surface roughness. An economical digital microscope with 5-50 times magnification was used to input the samples to the computer. The samples were sorted, then processed to determine points that are located on the edges of topography of the sample’s surfaces by using Prewitt modulus. Then the rates of calculated edges were linked to the surface roughness. The method showed promising results, although the results were affected by the direction of the specific edges, which opens the way for further research