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Image Matching Algorithm Based on Hashes Extraction

机译:基于哈希提取的图像匹配算法

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Nowadays, the rise of social networks and the continuous storage of large of information are topical issue. But the main problem is not the storage itself, is the ability to process most of this information, so that it is not stored in vain. In this way, using the shared images within the scope of social networks, possible relationships between users could be identified. Prom this idea arises the present work, which focuses on identifying similar images even if they have been modified (applying color filters, rotations or even watermarks). The solution involves preprocessing to eliminate possible filters and then apply hashing techniques, just to obtain hashes that are unique for each image and allow the comparison of an abstract but effective way for the user.
机译:如今,社交网络的兴起和大量信息的连续存储已成为热门话题。但是主要问题不是存储本身,而是处理大多数信息的能力,因此它不会白白存储。以这种方式,使用社交网络范围内的共享图像,可以识别用户之间的可能关系。可能这个想法出现在当前的工作中,该工作着重于识别相似的图像,即使它们已经被修改(应用滤色器,旋转甚至是水印)。该解决方案包括进行预处理以消除可能的过滤器,然后应用哈希技术,只是为了获得每个图像唯一的哈希,并允许用户比较一种抽象但有效的方式。

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