Abstract
In recent years, with the rapid development of computer network technology, the number of various multimedia data, including image data information, has increased rapidly. How to efficiently retrieve these image information and extract information from users in large amounts of image data efficiently and accurately has become a key issue in the field of information retrieval. The improvement of traditional algorithm of image retrieval is difficult to solve a series of problems such as massive data storage, computation and transmission. As a new computing model, cloud computing has a very important role in promoting the development of image retrieval. In this paper, image edge information is extracted by morphological method, and image retrieval is done as image shape feature. It solves the problem of poor edge detection by traditional methods. These features are extracted by the cloud computing platform of Hadoop, which can effectively improve the performance of image retrieval.
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Liu, G., Yao, J., Zhou, Z. (2018). An Image Retrieval Technology Based on Morphology in Cloud Computing. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_26
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DOI: https://doi.org/10.1007/978-3-030-00006-6_26
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