Computer Science ›› 2017, Vol. 44 ›› Issue (3): 313-317.doi: 10.11896/j.issn.1002-137X.2017.03.063

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Research on Skyline Detection Based on Region Covariance and Median Filtering Algorithm

TU Bing, PAN Jian-wu, WU Jian-hui, ZENG Xiang and CAO Xu   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Skyline detection plays an important role in visual navigation and geographical location annotation.Firstly,the input image is segmented by the region covariance algorithm to determine the target area of skyline detection.And then,the gradient values of the sample images in the data set are ananlyzed to obtain the optimal threshold gradient.In the skyline for initial segmentation detection target area,a cyclic gradient algorithm was proposed to detect the position coor-dinates.Finally,the median filtering algorithm was used to correct the coordinates of each point of the skyline for eliminating the possible skyline singular point,and eventually to detect the skyline of the input images.The proposed algorithm was tested on the Web set of the machine vision laboratory in the university of nevada.The experimental results show that the algorithm can effectively detect the skyline of input images in the data set,which is unnecessary to extract the edge information of the images.The proposed algorithm has good validity and timeliness.

Key words: Visual navigation,Skyline,Region covariance,Gradient threshold,Median filtering

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