From a Flapping Bumblebee to an Evolving Sand Dune: A Reconstruction-Based Algorithm to Feature the Digitally Recorded Objects
2019 ◽
Vol 33
(04)
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pp. 1954015
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Keyword(s):
A reconstruction-based image processing algorithm is developed to automatically extract feature points of digitalized 2D objects. This algorithm, which is introduced using a bumblebee flight case, is made up of two parts: a four-connected dot chasing rearrangement scheme and an extreme point extraction on a polarized contour. It is then applied to a dune evolution case that is simulated with a cellular automation model. The results show that the proposed algorithm is effective in characterizing individual moving objects. An additional algorithm is developed to categorize the extracted feature points of a bumblebee with translucent wings.
Human Activity Classification for Surveillance using Machine Learning and Image Processing Algorithm
2019 ◽
Vol 7
(6)
◽
pp. 343-346
1995 ◽
Vol 11
(5)
◽
pp. 751-757
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2018 ◽
pp. 9-22
2011 ◽
Vol 36
(1)
◽
pp. 48-57
◽
Keyword(s):
2017 ◽
Vol 5
(1)
◽
pp. 28-42
◽