Automatic aircraft object detection in aerial images

Abstract

Image segmentation that partitions a given image into meaningful regions is an important task of image analysis for recognition. This paper describes the segmentation of objects in complex aerial images that contain aircraft objects in the airport. The proposed approach is automatically to detect aircraft objects in the aerial images based on the adaptive clustering segmentation algorithm. Following an edge-linking procedure, the regions of objects can be bounded by closed boundaries. The amount of objects can be determined before and after the image denoise. Experiments on a variety of aerial images have shown correct segmentation, regardless of the complexity of background in images.