Binary-image comparison with local-dissimilarity quantification |
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| Authors: | Étienne Baudrier Frédéric Nicolier Gilles Millon Su Ruan |
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| Affiliation: | 1. Laboratoire de Mathématiques et Applications, Université de La Rochelle, Avenue Crépeau, 17042 La Rochelle Cedex 1, France;2. Centre de Recherche en STIC, IUT de Troyes, URCA, 9, rue de Québec, 10026 Troyes Cedex, France;1. Collecte Localisation Satellites, 11 rue Hermès, 31520 Ramonville Saint-Agne, France;2. Geodetic Observatory Pecný, Research Institute of Geodesy, Topography and Cartography, Ond?ejov 244, 25165, Czech Republic;3. EUROGICIEL Ingénierie, 417 L’occitane, BP 47506, 31675 Labège cedex, France;4. Centre National d’Etudes Spatiales, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France;1. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan;2. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;3. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan;4. Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan;5. Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan;6. Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan;1. Center of Excellence for Complex Systems Research, Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland;2. ITMO University, 19 Kronverkskiy av., 197101 Saint Petersburg, Russia;1. GeM, UMR 6183, Ecole Centrale de Nantes, 1 rue de la Noe, 44321 Nantes Cedex 3, France;2. Faurecia Group, 2 rue Hennape, 92000 Nanterre, France;1. Graduate School of Science and Engineering, Yamagata University, Jonan, Yonezawa, Yamagata 992-8510, Japan;2. Graduate School of Engineering, Nagoya University, Furocho, Chikusa-ku, Aichi 466-8602, Japan;3. Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Aichi 466-8601, Japan;1. Department of Reel Development, Shimano Inc., 3-77 Oimatsu-cho, Sakai-ku, Sakai, Osaka 590-8577, Japan;2. Department of Mechanical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan |
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| Abstract: | In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images have to be compared without using feature extraction. Due to the fact that different scene patterns can be present in the images, we propose a modified Hausdorff distance (HD) locally measured in an adaptive way. The resulting set of measures is richer than a single global measure. The local HD measures result in a local-dissimilarity map (LDMap) including the dissimilarity spatial layout. A classification of the images in function of their similarity is carried out on the LDMaps using a support vector machine. The proposed method is tested on a medieval illustration database and compared with other methods to show its efficiency. |
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