Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results

The proposed algorithm detects globally the symmetry axes inside an image plane. The main steps are as follows: We firstly extract edge features using Log-Gabor filters with different scales and orientations. Afterwards, we use the edge characteristics associated with the textural and color information as symmetrical weights for voting triangulation. In the end, we construct a polar-based voting histogram based on the accumulation of the symmetry contribution (local texture and color information), in order to find the maximum peaks presenting as candidates of the primary symmetry axes

Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms

In recent years, there has been renewed interest in bilateral symmetry detection in images. It consists in detecting the main bilateral symmetry axis inside artificial or natural images. State-of-the-art methods combine feature point detection, pairwise comparison and voting in Hough-like space. In spite of their good performance, they fail to give reliable results over challenging real-world and artistic images. In this paper, we propose a novel symmetry detection method using multi-scale edge features combined with local orientation histograms. An experimental evaluation is conducted on public datasets plus a new aesthetic-oriented dataset. The results show that our approach outperforms all other concurrent methods

Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms

Symmetry is one of the significant visual properties inside an image plane, to identify the geometrically balanced structures through real-world objects. Existing symmetry detection methods rely on descriptors of the local image features and their neighborhood behavior, resulting incomplete symmetrical axis candidates to discover the mirror similarities on a global scale. In this paper, we propose a new reflection symmetry detection scheme, based on a reliable edge-based feature extraction using Log-Gabor filters, plus an efficient voting scheme parameterized by their corresponding textural and color neighborhood information. Experimental evaluation on four single-case and three multiple-case symmetry detection datasets validates the superior achievement of the proposed work to find global symmetries inside an image

Recherche et valorisation d’archives numérisées : le cas du fonds Paul-Martial

International audienc

Le fonds Paul-Martial du Musée d’art moderne et contemporain de Saint Étienne Métropole : une étude méthodique et esthétique d’un fonds muséal numérisé

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Testing the colour harmony for painting exhibition

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Computational materials design: recent advances and open challenges related to colorimetry

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Learning and teaching color as a multidisciplinary topic based on scientific knowledge and artistic concepts

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Computational materials design: most recent advances and open challenges related to colorimetry

International audienc

Optimization of monochromatic primaries in RGB system: On the specific question of purples

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