A Survey on Image Processing Techniques for Seeds Classification

被引:2
|
作者
Singh, Simranjeet [1 ]
Singh, Parminder [1 ]
Kaur, Avinash [1 ]
机构
[1] Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara, India
关键词
Computational Intelligence; Image Processing; Fuzzy; Feature Extraction; Neural Networks; Seed Classification;
D O I
10.1109/ICCS.2018.00032
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Agriculture is the department which has shown a rapid growth. Due to this growth today we have a lot of variety of seeds which belongs to the same breed, which may be a result of breed crossover. Now, this has become a challenge to classify the seeds from each other. In another contrast, we have some healthy seeds and some of the seeds becomes defected. One way of separating them from the healthy seeds was, do manually by a team of experts and some manual systems, which is a time consuming and laborious task. So there was need to build a automatic / intelligent system which classify them on the basis of some fixed parameters like shape, length, height, perimeter etc. This paper shows various techniques available for doing the same.
引用
收藏
页码:143 / 150
页数:8
相关论文
共 50 条
  • [41] Study of digital image processing techniques for leaf disease detection and classification
    Dhingra, Gittaly
    Kumar, Vinay
    Joshi, Hem Dutt
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (15) : 19951 - 20000
  • [42] Cork stopper classification using FPGAs and digital image processing techniques
    Vega-Rodríguez, MA
    Sánchez-Pérez, M
    Gómez-Pulido, JA
    EUROMICRO SYMPOSIUM ON DIGITAL SYSTEMS DESIGN, PROCEEDINGS, 2001, : 270 - 275
  • [43] A comparison of automated classification techniques for image processing in video internet of things
    Hawezi, Roojwan Sc
    Khoshaba, Farah Sami
    Kareem, Shahab Wahhab
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
  • [44] Classification of Pomegranate Leaves Diseases by Image Processing and Machine Learning Techniques
    Nirmal, M. D.
    Jadhav, Pramod
    Pawar, Santosh
    CYBERNETICS AND SYSTEMS, 2022,
  • [45] Towards Source-Based Classification of Image Inpainting Techniques: A Survey
    Sreelakshmy, I.J.
    Kovoor Binsu, C.K.
    Journal of Information and Knowledge Management, 2021, 20 (03):
  • [46] Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives
    Liu, Xinwei
    Pedersen, Marius
    Wang, Renfang
    DIGITAL SIGNAL PROCESSING, 2022, 127
  • [47] Towards Source-Based Classification of Image Inpainting Techniques: A Survey
    Sreelakshmy, I. J.
    Binsu, C. Kovoor
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2021, 20 (03)
  • [48] A survey of recent work on fine-grained image classification techniques
    Wang, Yafei
    Wang, Zepeng
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 59 : 210 - 214
  • [49] A survey of image processing techniques and statistics for ballistic specimens in forensic science
    Gerules, George
    Bhatia, Sanjiv K.
    Jackson, Daniel E.
    SCIENCE & JUSTICE, 2013, 53 (02) : 236 - 250
  • [50] A Survey on Compression Domain Image and Video Data Processing and Analysis Techniques
    Dong, Yuhang
    Pan, W. David
    INFORMATION, 2023, 14 (03)