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

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

Ke Sun, Guangwei Fan, Yujie Zhang, Ji Luo, Xiaobing Wu and Tao Pan*

College of Life Sciences, Anhui Normal University, No. 1 Beijing East Road, Wuhu, 241000, P. R. China.

 
* Corresponding author: Pantao@ahnu.edu.cn

Fig. 1.

Distribution map of Chinese alligator.

Fig. 2.

Image for canopy degree detection.

Fig. 3.

Gray histogram of three canopy density images.

Fig. 4.

Histogram process for noise peak elimination.

Fig. 5.

Absolute error of canopy density calculating using self-adaptive bimodal threshold segmentation method with different best threshold position parameter.

Fig. 6.

Measuring accuracy of different automatic threshold segmenting methods.

Fig. 7.

Segmentation result of self-adaptive bimodal threshold segmentation method for images taken on the cloudy day and the sunny day.

Fig. 8.

Segmentation result of self-adaptive bimodal threshold segmentation method for images taken from the place with different canopy density.

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Pakistan Journal of Zoology

August

Pakistan J. Zool., Vol. 56, Iss. 4, pp. 1501-2000

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