MATEC Web Conf.
Volume 232, 20182018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|Number of page(s)||4|
|Section||Algorithm Study and Mathematical Application|
|Published online||19 November 2018|
An Aquatic Organism Image Retrieval Hash Algorithm Based on DCT
Computer Engineering College of JiMei University, 361021 Xiamen, China
2 Xiamen Institute of Technology, 361021 Xiamen, China
a Corresponding author: firstname.lastname@example.org
In order to overcome the disadvantages of traditional image retrieval algorithms such as inefficiency and time-consuming, an image retrieval algorithm based on DCT Hash is proposed. In this paper, the discrete cosine transform technique is applied to image retrieval. Firstly, the feature hash sequence is generated by computing the DCT transform component of the image based on annular segmentation. Then an image Hash algorithm based on DCT feature Hash sequence is proposed. Experimental results show that the algorithm is robust to image scaling, rotation, noise processing, and has good retrieval performance.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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