APPLICATION OF ACTIVE CONTOUR MODEL ON IMAGE PROCESSING FOR DETECTION OF ROAD DAMAGE
Article Sidebar
Main Article Content
Abstract
Road damage is a serious problem because it often occurs everywhere. Damage to the road surface, such as potholes, often disrupts land transportation, and can even cause accidents. With the automatic detection of road damage types, it can simplify the process of classifying the types of road damage by using images from the results of the classification system which can be used as supporting information in calculating road repairs. In this study, to identify road damage types by images, the active contour model segmentation technique is used based on the level set and then classified by the support vector machine method. Based on the test results, using 58 data sets with 12 types of road damage, the accuracy of this method is 87.93%.
Article Details
Authors who publish in this journal agree to the following terms:
-
Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License, which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.
-
Authors may enter into additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with acknowledgment of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of the published work.
Each submitted manuscript must be accompanied by a "Manuscript Originality Statement" and a "Copyright Transfer Statement".