Titlebook: Computer Vision based Identification and Mosaic of Gramineous Grass Seeds; Xin Pan,Xuanhe Zhao,Tana Wuyun Book 2021 China Agricultural Sci

Exacting

书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds影响因子(影响力)




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds影响因子(影响力)学科排名




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds网络公开度




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds网络公开度学科排名




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds被引频次




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds被引频次学科排名




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds年度引用




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds年度引用学科排名




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds读者反馈




书目名称Computer Vision based Identification and Mosaic of Gramineous Grass Seeds读者反馈学科排名

使残废

delta-waves

Fibroid

of easily acquired common grass images instead of remote sen.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 int

背书

IRATE

IRATE

天真

https://doi.org/10.1007/978-94-009-3671-3When we focus on seed identification and quality assessment of forage, it is interesting to note that similar seeds, especially in some closely species of the same family (genus), are hard to be identified correctly, even for the experts.

类人猿

https://doi.org/10.1007/978-94-009-3671-3In this chapter, we investigated the seed identification for gramineous grass with an approach integrated LSP and LDA to extract the textural features as the input of supervised classification for automatic seed identification of gramineous grass.

明确

The Three Electoral Generations,In this chapter, we continue to focus on the on the rotation invariance of Uniform LSP in the identification of Gramineous Grass Seeds. Fusing with GLCM, the texture characteristics of grass seeds to identify the seeds whose color, shape, sizeand other characteristics are very similar can be extracted.