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26 May 2020 An Improved Algorithm for Refinement of Overlapping Images of Marine Organisms
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Abstract

Li, K.; Jia, L., and Shi, X., 2020. An improved algorithm for refinement of overlapping images of marine organisms. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 67–71. Coconut Creek (Florida), ISSN 0749-0208.

Aiming at the shortcomings of the current ocean Ocean image edge detection algorithm, such as poor real-time performance, slow Ocean image processing and limited storage space, an improved ocean Ocean image overlay Ocean image refinement algorithm is designed. Collect overlapping Ocean images of marine organisms and store large amounts of Ocean images in SDRAM memory; use traditional SOBEL operators to detect overlapping portions of ocean Ocean images, use non-maximum suppression to refine Ocean image edges, and clearly and accurately display ocean edges through VGA interface Ocean image. The experimental results show that the method can locate the edge of the overlapping Ocean images of marine organisms more accurately, and the refinement process has better real-time performance, which can be applied to more complex edge detection of overlapping Ocean images of marine organisms.

©Coastal Education and Research Foundation, Inc. 2020
Kun Li, Liwei Jia, and Xiaoming Shi "An Improved Algorithm for Refinement of Overlapping Images of Marine Organisms," Journal of Coastal Research 95(sp1), 67-71, (26 May 2020). https://doi.org/10.2112/SI95-013.1
Received: 31 March 2019; Accepted: 13 February 2020; Published: 26 May 2020
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