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.


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    Title :

    Automatic aircraft object detection in aerial images


    Contributors:
    Li, Yingchun (author) / Chen, Hexin (author) / Mei, Yunhuan (author) / Yang, Jianbo (author) / Zheng, Wei (author)

    Conference:

    Fifth International Symposium on Instrumentation and Control Technology ; 2003 ; Beijing,China


    Published in:

    Publication date :

    2003-09-02





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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