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基于计算机视觉的禾本科牧草子的识别与拼接(英文版)(精)

  • 定价: ¥88
  • ISBN:9787511645272
  • 开 本:16开 精装
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  • 折扣:
  • 出版社:中国农业科技
  • 页数:132页
  • 作者:Pan Xin//Gao Xia...
  • 立即节省:
  • 2019-12-01 第1版
  • 2019-12-01 第1次印刷
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导语

  

内容提要

  

    本书是基于计算机视觉的草地数字化研究的初步成果汇编,重点研究禾本科牧草种子的识别与拼接。本书作者来自内蒙古农业大学和中国农业科学院草原研究所,本书内容主要关于牧草识别与草地数字化的总结性报告,为相关的计算机科学与技术、草业科学等研究人员提供参考与帮助。

目录

Chapter 1 Introduction
  1 Introduction
    1.1  Digitization Grassland
    1.2  Computer Vision based Research Status of Grassland Digitization
    1.3  Research Conetent
  References
Chapter 2 Forage IdentiHcation and Experimental Materials
  2 Forage Identification and Experimental Materials
    2.1  Defination of Forage Automated Identification
    2.2  Automatic Identification of Herbage based on Seed Images
    2.3  Experimental Materials
  References
Chapter 3 Identincation of Gramineous Grass Seeds Using Gabor and Locality Preserving Projections
  3 Identification of Gramineous Grass Seeds Using Gabor and Locality Preserving Projections
    3.1  Feature Extraction
    3.2  Feature Matching
    3.3  Results and Discussion
    3.4  Chapter Summary
  References
Chapter 4  Identification of Gramineous Grass Seeds Using Difference of Local Fractal Dimensions
  4  Identification of Gramineous Grass Seeds Using Difference of Local Fractal Dimensions
    4.1  Fractal and Fractal Dimension
    4.2  Difference of local Fractal Dimension
    4.3  Results and Discussions
    4.4  Chapter Summary
  References
Chapter 5  Identification of Gramineons Grass Seeds Using Local Similarity Pattern and Linear Discriminant Analysis
  5  Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Linear Discriminant Analysis
    5.1  Identification based on LSP and LDA
    5.2  Experimental Results and Discussions
    5.3  Chapter Summary
  References
Chapter 6  Identification of Gramineons Grass Seeds Using Local Similarity Pattern and Gray Level Co-occurrence Matrix
  6  Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Gray Level Co-occurrence Matrix
    6.1  Fusion of LSP and GLCM in feature extraction
    6.2  Experimental Results and Discussions
  References
Chapter 7  Microscopic Image Mosaic of Gramineons Grass Seeds
  7  Microscopic Image Mosaic of Gramineous Grass Seeds
    7.1  Image Mosaic
    7.2  Materials and Methods
    7.3  Experimental Results and Disscussions
    7.4  Chapter Summary
  References
Chapter 8  Digital Information Platform of Grassland and Forage Based on Computer Vision
  8  Digital Information Platform of Grassland and Forage Based on Computer Vision
    8.1  Digital Information Platform of Grassland and Forage
    8.2  Key Technological Problems and Solutions of the Platform
    8.3  Implementation of the Platform
    8.4  Chapter Summary
  References