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Shoffan Saifullah and Rafal Drezewski
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc...
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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Junling Liang, Heng Li, Fei Xu, Jianpin Chen, Meixuan Zhou, Liping Yin, Zhenzhen Zhai and Xinyu Chai
Cereal grains are a vital part of the human diet. The appearance quality and size distribution of cereal grains play major roles as deciders or indicators of market acceptability, storage stability, and breeding. Computer vision is popular in completing ...
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Anuja Arora, Ambikesh Jayal, Mayank Gupta, Prakhar Mittal and Suresh Chandra Satapathy
Brain tumor segmentation seeks to separate healthy tissue from tumorous regions. This is an essential step in diagnosis and treatment planning to maximize the likelihood of successful treatment. Magnetic resonance imaging (MRI) provides detailed informat...
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Mingmei Zhang, Yongan Xue, Yonghui Ge and Jinling Zhao
To accurately identify slope hazards based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm is proposed. The color difference of the Luv color space was used as the regional similarity measure for region merging. Fu...
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Mohamed Ismail and Milica Orlandic
Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed. The proposed four-step classification scheme exp...
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Ângela M. K. Hentz,Carlos A. Silva,Ana P. Dalla Corte,Sylvio P. Netto,Michael P. Strager,Carine Klauberg
Pág. e005
Aim of study: In this study we applied 3D point clouds generated by images obtained from an Unmanned Aerial Vehicle (UAV) to evaluate the uniformity of young forest stands.Area of study: Two commercial forest stands were selected, with two plots each. Th...
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Wenhua Wu, Lei Zhou, Jian Chen, Zhengjun Qiu and Yong He
Thousand kernel weight (TKW) is an important parameter for the evaluation of grain yield. The traditional measurement method relies on manual steps: weighing and counting. In this paper, we developed a system for the automated evaluation of thousand kern...
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Topi Tanhuanpää, Ninni Saarinen, Ville Kankare, Kimmo Nurminen, Mikko Vastaranta, Eija Honkavaara, Mika Karjalainen, Xiaowei Yu, Markus Holopainen and Juha Hyyppä
Height models based on high-altitude aerial images provide a low-cost means of generating detailed 3D models of the forest canopy. In this study, the performance of these height models in the detection of individual trees was evaluated in a commercially ...
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Akissi Bienve Pélagie Kouakou, Emmanuel Agnidé Lawin, Bamory Kamagaté, Amidou Dao, Issiaka Savané and Bernard Srohourou
This study analyzes, at local and regional scales, the rainfall variability across the Agneby watershed at the Agboville outlet over the period 1950?2013. Daily rainfall data from 14 rain gauges are used. The methods used are based, firstly, on the rainf...
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