Human visual system can improve the feature saliency automatically from insufficient contrast or when there are occlusions . This paper focuses on corner/junction detection by simulating the biological vision mechanisms to increase the feature saliency. An algorithm is designed to simulate the recognization process of biological vision system. This approach depends on the orientations of edges. The feature saliency measure are increased from the image. The algorithm has been applied on several classical contour test images and the experiments demonstrate that the algorithm is more simple and can handle junctions robustly compared with previous works .


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Improving the Feature Saliency by Eigenvalue Analysis


    Beteiligte:
    Xiaofang, Shao (Autor:in) / Ziyang, Zhang (Autor:in)


    Erscheinungsdatum :

    11.10.2023


    Format / Umfang :

    2621607 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Aircraft Target Recognition Combining Saliency Detection and Feature Matching

    Yang, Lei / Zhang, Weiwei / Peng, Zhengyan | IEEE | 2021


    Feature combination strategies for saliency-based visual attention systems

    Itti, L. / Koch, C. | British Library Online Contents | 2001


    Contextual-based top-down saliency feature weighting for target detection

    Rahman, I. | British Library Online Contents | 2016


    A new texture representation approach based on local feature saliency

    Bashar, M. K. / Ohnishi, N. / Agusa, K. | British Library Online Contents | 2007


    Unifying Visual Saliency with HOG Feature Learning for Traffic Sign Detection

    Xie, Y. / Liu, L.-F. / Li, C.-H. et al. | British Library Conference Proceedings | 2009