Abstract
Titanium Nitride (TiN) coatings were deposited on stainless steel substrate using Cathodic Arc Deposition method. Coating uniformity and growth defects were analysed by the proposed image processing technique along with conventional XRD, SEM and surface roughness measurement. Corrosion experiments confirmed that coating exposed with coarse texture and more defect density shown with more corrosion rate. Regression model was developed to determine the significance of image features against corrosion nature of coating. The image features contrast, entropy and standard deviation are used to identify the uniformity of coating. Porosity of coating obtained from corrosion experiment highly correlated with the defect density estimated by image process.