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果蠅種類影像辨識及群組互動監測研究
Thesis

果蠅種類影像辨識及群組互動監測研究

沈彥廷
Masters, 國立清華大學, 動力機械工程學系
2013

Abstract

果蠅 影像分類 群組互動 Drosophila Image Classification Interactions within Groups
This research uses image processing techniques to automatically monitor interactions within groups of different categories of Drosophila. With revised sub-regions of Spatial Pyramid Matching and winner take all method, we achieve 100% recognition rate in four categories of Drosophila. In addition, through drosophila tracking, we are able to monitor 10 Drosophila simultaneously and analyze every individual drosophila to acquire its position, size and heading angle with a rate of mismatching sequential drosophila under 0.01%. Therefore, the interactions within groups of interspecies monitoring which this research developed would efficiently enhance the experiment performance by reducing labor cost and time consumption. This research proposes the comparison between interspecies and within-species interactions within groups. With the outcome of the interspecies interaction experiment, we come to a conclusion that the average interactions of drosophila melanogaster is higher than the other species of drosophila but there is no statistical significance.

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