Computer Vision Based Identification and Mosaic of Gramineous Grass Seeds - Couverture rigide

Pan, Xin; Zhao, Xuanhe; Yan, Weihong; Liu, Jiangping; Luo, Xiaoling; Wuyun, Tana

 
9789811635007: Computer Vision Based Identification and Mosaic of Gramineous Grass Seeds

Synopsis

Introduction.- Forage Identification and Experimental Materials.- Identification of Gramineous Grass Seeds Using Gabor and Locality Preserving Projections.- Identification of Gramineous Grass Seeds Using Difference of Local Fractal Dimensions.- Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Linear Discriminant Analysis.- Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Gray Level Co-occurrence Matrix.- Microscopic Image Mosaic of Gramineous Grass Seeds.- Digital Information Platform of Grassland and Forage Based on Computer Vision.

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À propos de l?auteur

Dr. Xin Pan is a Professor of College of Computer and Information Engineering, Inner Mongolia Agricultural University. She received her Ph.D. in signal and information processing from Beijing Jiaotong University in 2009. Then she carried out her postdoctoral researches in Grassland Research Institute of Chinese Academy of Agricultural Sciences from 2010-2014. Dr. Pan Xin's research interest is image processing and pattern recognition. Her work focuses on solving the traditional problems of pratacultural science by the means of computer vision. She has published more than 30 papers, and is a member of professional organizations of China Institute of Communications and Chinese Grassland Society. Her research is an initial effort in the research of grassland digitization based on computer vision, especially focus on identification and mosaic of gramineous grass seeds, which provides a new approach for automated data acquisition of grassland.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9789811635038: Computer Vision based Identification and Mosaic of Gramineous Grass Seeds

Edition présentée

ISBN 10 :  981163503X ISBN 13 :  9789811635038
Editeur : Springer, 2022
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