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Studies on Automatic Image Segmentation Method for Canopy Density Measurement of Chinese Alligator (Alligator sinensis) Habitat

Author(s)
Ke Sun College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Guangwei Fan College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Yujie Zhang College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Ji Luo College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Xiaobing Wu College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Tao Pan College of Life Sciences, Anhui Normal University,No. 1 Beijing East Road, Wuhu, 241000,P. R. China
Abstract
In order to develop a rapid measuring method for canopy density of Chinese alligator (Alligator sinensis) habitat, the images of the habitat are captured from 1 meter of the ground. Then, a canopy density calculating method is established based on an adaptive bimodal threshold segmentation algorithm. The accuracy of the proposed method is evaluated and compared with two methods based on Otsu's algorithm and iterative algorithm, respectively. The results show that the accuracy of the method based on the adaptive bimodal threshold segmentation algorithm is the highest (absolute error: 0.018±0.016) among these three methods. Please note that the accuracy is higher for images captured on cloudy days as compared to the images captured on sunny days. Moreover, the accuracy is highest for the images with low canopy density (absolute error: 0.006±0.004), and is relatively low for the images with high canopy density (absolute error: 0.020±0.016). The adaptive bimodal threshold segmentation method satisfies the accuracy requirements of canopy density of Chinese alligator (Alligator sinensis) habitat.
Publication Details
Page(s) 1717-1724
DOI 10.17582/journal.pjz/20220829150819
Published Journal: Pakistan Journal of Zoology, Volume: 56, Issue: 4, Year: 2024

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Keywords
Threshold, image segmentation, Habitat, Bimodal method, Canopy density measurement
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