Rust Detection Using Image Processing: A Review

Abstract

In most industries uses iron machines and tools for manufacturing their products. Corrosion is a natural process that damages the integrity of iron surface, therefore rusting of iron take place. It can be prevented by detecting rusting in earlier stage. Digital image processing for the detecting rust provides fast, accurate and objective results. This paper provides a brief description of the past and present technologies for rust detection. The proposed method creates a program that is useful for rust detection through image processing. Image processing means the manipulation of image through quantizing the image itself in matrix form. Through this quantization, it not only manipulates the image but also detect a particular subject on the image as well, such as rust. Through setting the threshold values and the use of segmentation and edge detection, rusts on the image can be detected. The edge detection used to detect the sudden changes of colors in the images. The segmentation then determines the colors on the image. Then a threshold value is used to set the parameters and characterize what rust is.

Keywords: Segmentation, thresholding, edge detection, MATLAB