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Yifeng Ren, Qingyan Li and Zhe Liu
Plant diseases and pests may seriously affect the yield of crops and even threaten the survival of human beings. The characteristics of plant diseases and insect pests are mainly reflected in the occurrence of lesions on crop leaves. Machine vision disea...
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Aryuanto Soetedjo and Evy Hendriarianti
A camera vision system is a fast and effective approach to monitoring leaves. It can be used to monitor plant growth, detect diseases, and conduct plant phenotyping. However, due to the outdoor environment of plants, it becomes challenging to use. This p...
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Fernando Díaz-del-Río, Pablo Sanchez-Cuevas, María José Moron-Fernández, Daniel Cascado-Caballero, Helena Molina-Abril and Pedro Real
Relating image contours and regions and their attributes according to connectivity based on incidence or adjacency is a crucial task in numerous applications in the fields of image processing, computer vision and pattern recognition. In this paper, the c...
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Giuseppe Salvaggio, Giuseppe Cutaia, Antonio Greco, Mario Pace, Leonardo Salvaggio, Federica Vernuccio, Roberto Cannella, Laura Algeri, Lorena Incorvaia, Alessandro Stefano, Massimo Galia, Giuseppe Badalamenti and Albert Comelli
This study proposes fast and innovative deep learning networks for automatic retroperitoneal sarcoma segmentation in computerized tomography images.
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Sharad Mehta, John Peach and Andrew Weinert
Aerial surveys using LiDAR systems can play a vital role in the quantitative assessment of infrastructure damage caused by hurricanes, floods, and other natural disasters. GmAPD LiDAR provides high-resolution 3D point-cloud data which enables the surveyo...
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