Ship Detection Using Edge-Based Segmentation and Histogram of Oriented Gradient with Ship Size Ratio
Hyukmin Eum, Jaeyun Bae, Changyong Yoon, Euntai Kim · International Journal of Fuzzy Logic and Intelligent Systems · 2015
In this paper, a ship detection method is proposed; this method uses edge-based segmentation and histogram of oriented gradient (HOG) with the ship size ratio.The proposed method can prevent a marine collision accident by detecting ships at close range.Furthermore, unlike radar, the method can detect ships that have small size and absorb radio waves because it involves the use of a vision-based system.This system performs three operations.First, the foreground is separated from the background and candidates are detected using Sobel edge detection and morphological operations in the edge-based segmentation part.Second, features are extracted by employing HOG descriptors with the ship size ratio from the detected candidate.Finally, a support vector machine (SVM) verifies whether the candidates are ships.The performance of these methods is demonstrated by comparing their results with the results of other segmentation methods using eight-fold cross validation for the experimental results.