Browsing by Author "Amanatiadis, A."

Now showing items 1-5 of 5

  • Color and Edge Directivity Descriptor on GPGPU 

    Iakovidou, Chrysanthi; Bampis, L.; Chatzichristofis, Savvas A.; Boutalis, Yiannis; Amanatiadis, A. (IEEE (Computer Society), 2015)
    Image indexing refers to describing the visual multimedia content of a medium, using high level textual information or/and low level descriptors. In most cases, images and videos are associated with noisy and incomplete ...

  • CoMo: a scale and rotation invariant compact composite moment-based descriptor for image retrieval 

    Vassou, S. A.; Anagnostopoulos, N.; Amanatiadis, A.; Chatzichristofis, Savvas A.; Christodoulou, Klitos (Springer International Publishing, 2018-03-01)
    Low level features play a significant role in image retrieval. Image moments can effectively represent global information of image content while being invariant under translation, rotation, and scaling. This paper presents ...

  • Identification and Retrieval of DNA Genomes Using Binary Image Representations Produced by Cellular Automata 

    Konstantinidis, K.; Amanatiadis, A.; Chatzichristofis, Savvas A.; Sandaltzopoulos, R.; Sirakoulis, G. Ch. (IEEE (Computer Society), 2014)
    We have developed a novel method for the identification and retrieval of DNA sequences which are represented as binary images. This type of representation emanates from the evolution of one-dimensional nucleotide arrays ...

  • Two-Staged Image Colorization Based on Salient Contours 

    Anagnostopoulos, Nektarios; Iakovidou, Chrysanthi; Amanatiadis, A.; Boutalis, Yiannis; Chatzichristofis, Savvas A. (IEEE (Computer Society), 2014)
    In this paper we present a novel colorization technique that manages to significantly reduce color bleeding artifacts caused by weak object boundaries and also requires only abstract color indications and placement from ...

  • What, Where and How? Introducing pose manifolds for industrial object manipulation 

    Kouskouridas, R.; Amanatiadis, A.; Chatzichristofis, Savvas A.; Gasteratos, A. (Elsevier, 2015)
    In this paper we propose a novel method for object grasping that aims to unify robot vision techniques for 24 efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological 25 concepts, ...