Rust detection using image processing via Matlab

• Main Authors: Diaz, Julianne Alyson I., Ligeralde, Manuel I., Jose, John Anthony C., Bandala, Argel A.
• Format: text
• Published: Animo Repository 2017
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1042; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2041/type/native/viewcontent
• Institution: De La Salle University

© 2017 IEEE. This research attempted to create a program that is capable of detecting rust through image processing. Image processing is known for the manipulation of image through quantizing the image itself in matrix form. Through this quantization, it gives opportunity to not only manipulate 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 edge detection and segmentation, rusts on the image can be detected. The threshold values will set the parameters and characterize what a rust is. The edge detection will check for the sudden changes of colors in the images. The segmentation will then determine the colors on the image. The results in the edge detection and segmentation will be integrated to determine the rust on the image. The results of the program yield a success rate 90% in detecting rust on images with rusts and did not obtain any errors on images with no rust.