Abstract
Based on the attention mechanism of human vision, an image salient region detection model is proposed by fusing multi-scale and log amplitude spectrum. The model considers the characteristics of target and background at the same time, calculates the spectral residuals at different scales, and uses “center surround difference operation” for cross scale combination. According to feature integration, multi-scale feature maps are superimposed to get the final saliency map. The simulation results show that compared with the traditional detection algorithm, the improved algorithm in this paper has obvious improvement in the detection effect and accuracy of the salient region, and reduces the misjudgment rate. The salient region detection for the aerial sea detection image has certain anti-interference and applicability.
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Gai, Yc., Han, Yl., Peng, L., Jiang, X., Wang, Rx. (2022). Salient Region Detection of Aerial Sea Detection Image Based on Fusion Algorithm. In: Deng, Z. (eds) Proceedings of 2021 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 801. Springer, Singapore. https://doi.org/10.1007/978-981-16-6372-7_38
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DOI: https://doi.org/10.1007/978-981-16-6372-7_38
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