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10 July 2020 Matching Method of Marine Animal Animation Image: A Study Considering the Variance of Scattered Particles
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Abstract

Tian, M.-X., 2020. Matching method of marine animal animation image: A study considering the variance of scattered particles. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 588–591. Coconut Creek (Florida), ISSN 0749-0208.

With the development of ocean exploitation and use, the marine environment has been damaged more and more. On the other hand, the ocean contains abundant biological resources, and most of the marine animals have image expression attributes. It is of great practical significance to study the advanced animation image matching algorithm of marine animals to improve the accuracy of image matching. Therefore, this article designs an animation image matching method for marine animals based on the granular variance. In this article, first, the extraction method of multidimensional features of marine animal animation is described; second, the matching algorithm based on the variance of scattered particles is analyzed; and finally, the differences among matching algorithms of marine animal animation images are compared to verify the superiority of the algorithm in this article.

©Coastal Education and Research Foundation, Inc. 2020
Mingxing Tian "Matching Method of Marine Animal Animation Image: A Study Considering the Variance of Scattered Particles," Journal of Coastal Research 106(sp1), 588-591, (10 July 2020). https://doi.org/10.2112/SI106-133.1
Received: 30 December 2019; Accepted: 5 February 2020; Published: 10 July 2020
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