The ship detection technology has important civil and military value. Aiming at the problem of low accuracy of ship detection in complex sea scenes, a candidate region detection algorithm of maritime ship based on FT and Scharr is proposed. The FT saliency model can effectively suppress the background noise and highlight the central region of the target, but the detection effect of small target is poor. Scharr edge detection operator can highlight the edges of all salient targets, but it is easy to introduce background noise. The saliency maps obtained by FT and Scharr is fused by gaussian mixture function, so as to highlight the salient target and suppress the background noise. Finally, the region of interest is obtained by region extraction method. The detection results show that the fusion model can effectively suppress the background noise of the sea surface, and highlight the ship targets of all sizes, and has good effect in different complex sea scenes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Region of interest detection on the complex sea scenes based on visual saliency


    Contributors:
    Liu, Junqi (author) / Li, Zhi (author) / Zhang, Xueyang (author) / Li, Pengju (author) / Xu, Yiqiao (author)

    Conference:

    Second Target Recognition and Artificial Intelligence Summit Forum ; 2019 ; Changchun,China


    Published in:

    Proc. SPIE ; 11427


    Publication date :

    2020-01-31





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Visual Saliency Detection Using Group Lasso Regularization in Videos of Natural Scenes

    Souly, N. / Shah, M. | British Library Online Contents | 2016


    Detection of Visual Saliency Region for ADAS Applications

    Kutty, Krishnan / Deshpande, Ramya / Mani, Shanmugaraj | SAE Technical Papers | 2015


    Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes

    Tian, Y. / Li, J. / Yu, S. et al. | British Library Online Contents | 2015



    Saliency field map construction for region-of-interest-based color image querying

    Celenk, M. / Zhou, Q. / Vetnes, V. et al. | British Library Online Contents | 2005