Detection and Counting of Marigold Flower Using Image Processing Technique

  • Prabira Kumar SethyEmail author
  • Bijayalaxmi Routray
  • Santi Kumari Behera
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 41)


Analytically, in view of nation’s unavoidable pecuniary development and its input toward farming like floriculture is essentially an extensive area and a catalyst in the structural socioeconomic building of India. As it is the age of computerization, in the field of harvest, estimation which stimulates an idea of an automated approach using precision agriculture having the degree of ability to count acres of flowers in a specific field which indeed saves time and money in contrast to manual counting. So, the marigold harvest and its production estimation can be done through image processing which may help largely in the planning of good marketing and its management easily. In this paper, we have proposed a methodology which can detect and count marigold flower successfully by using HSV color transform and circular Hough transform (CHT) methodologies. The proposed methodology is applied to marigold flower which is captured in an open field with an average error of 5%.


Circular hough transform HSV color transform Marigold flower Image processing 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Prabira Kumar Sethy
    • 1
    Email author
  • Bijayalaxmi Routray
    • 2
  • Santi Kumari Behera
    • 2
  1. 1.Department of ElectronicsSambalpur UniversitySambalpurIndia
  2. 2.Department of Computer Science and EngineeringVSSUTSambalpurIndia

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