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

Exacting

書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds影響因子(影響力)




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds影響因子(影響力)學科排名




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds網(wǎng)絡公開度




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds網(wǎng)絡公開度學科排名




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds被引頻次




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds被引頻次學科排名




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds年度引用




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds年度引用學科排名




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds讀者反饋




書目名稱Computer Vision based Identification and Mosaic of Gramineous Grass Seeds讀者反饋學科排名

使殘廢

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

背書

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.

類人猿

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.

明確

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.