Overlapped flowers yield detection using computer-based interface

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• 作者：Anuradha Sharma^a ; ^{anuradha.sharma918@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Vijay Kumar Sharma^b ; ^{vijaymayankmudgal2008@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Devesh Kumar Srivastava^c ; ^{devesh988@yahoo.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Colour homogeneity ; Counting algorithm ; Image segmentation ; HSV colour space ; Morphological operations ; Overlapping
• 刊名：Perspectives in Science
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：8
• 期：Complete
• 页码：25-27
• 全文大小：736 K

文摘

Precision agriculture has always dealt with the accuracy and timely information about agricultural products. With the help of computer hardware and software technology designing a decision support system that could generate flower yield information and serve as base for management and planning of flower marketing is made so easy. Despite such technologies, some problem still arise, for example, a colour homogeneity of a specimen which cannot be obtained similar to actual colour of image and overlapping of image. In this paper implementing a new ‘counting algorithm’ for overlapped flower is being discussed. For implementing this algorithm, some techniques and operations such as colour image segmentation technique, image segmentation, using HSV colour space and morphological operations have been used. In this paper used two most popular colour space; those are RGB and HSV. HSV colour space decouples brightness from a chromatic component in the image, by which it provides better result in case for occlusion and overlapping.