A scheme of colour image retrieval from databases |
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Affiliation: | 1. Salud e Investigación e Instituto de Investigación en Salud Pública (IDISA), Argentina;2. INIGEM, UBA-CONICET, Buenos Aires, Argentina;1. Institute of Automation, Chinese Academy of Sciences, Beijing, China;2. Alibaba Group, Beijing, China;3. Children’s Hospital of Chongqing Medical University, Chongqing, China;4. University of Chinese Academy of Sciences, Beijing, China;1. Department of Medical Biophysics, Medical Research Institute, Alexandria University, Alexandria, Egypt;2. Department of Medical Equipment, Faculty of Allied Medical Sciences, Pharos University, Alexandria, Egypt;3. Department of Physics, Faculty of Science, Alexandria University, Alexandria, Egypt;4. Department of Medical Equipment, Faculty of Allied Medical Sciences, Alexandria, Egypt;5. Department of Electrical Engineering, Faculty of Engineering, Pharos University, Alexandria, Egypt |
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Abstract: | This paper presents a scheme of image retrieval from a database using queries prompted by the colour and the shape of the objects present in different scenes. Of the whole scheme of image retrieval, we will focus attention on the modules that allow feature extraction of the component objects from the scenes and the matching of the objects among the different images. The defined scheme enables the indexing of images by measuring the similarity between the integral objects. |
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