|
|
|
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki and Takuya Hiroshima
High-value timber species with economic and ecological importance are usually distributed at very low densities, such that accurate knowledge of the location of these trees within a forest is critical for forest management practices. Recent technological...
ver más
|
|
|
|
|
|
Zhengying Cai, Gengze Li, Jinming Zhang and Shasha Xiong
Image segmentation can be applied to image recognition and computer vision as the most important preprocess, and theartificial Physarum polycephalum colony algorithm proposed in this article can also be used to solveall kinds of complex problems in image...
ver más
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
ver más
|
|
|
|
|
|
Marco Mastrofini, Ivan Agostinelli and Fabio Curti
The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images? field of view (FOV). This task is mandatory for many applications that want to focus on the brightest objec...
ver más
|
|
|