Home Computer Vision Based Identification and Mosaic of Gramineous Grass Seeds by Xin Pan; Xuanhe Zhao; Weihong Yan (ISBN: 9789811635007)

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Computer Vision Based Identification and Mosaic of Gramineous Grass Seeds Hardback - 2021

Name: Computer Vision based Identification and Mosaic of Gramineous Grass Seeds
Price: 124.69 GBP
Availability: InStock
Author: Xin Pan
ISBN: 9789811635007

by Xin Pan; Xuanhe Zhao; Weihong Yan

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From the rear cover

This book mainly deals with grassland digitalization and recognition through computer vision, which will make contributions to implement of grass auto recognition and data acquisition. Taking advantage of computer vision, it focuses on intrinsic feature extraction to realize the functions such as auto recognition of forage seeds and microscope images mosaic. The book presents a new approach for identification of grass seeds, with clear figures and detailed tables. It enlightens reader by solving the traditional problems of pratacultural science through the aid of computer science.

Details

Title Computer Vision Based Identification and Mosaic of Gramineous Grass Seeds
Author Xin Pan; Xuanhe Zhao; Weihong Yan
Binding Hardback
Pages 128
Volumes 1
Language ENG
Publisher Springer
Publication date 2021-08-18
Illustrated Yes
Features Illustrated
ISBN 9789811635007 / 9811635005
Weight 0.83 lbs (0.38 kg)
Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
Category Environmental Studies

About the author

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.

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