Image-based automatic segmentation of leaf using clustering algorithm
by Shivalika Sharma; Chinmay Chakraborty; Davinder Paul Singh; Shubham Mahajan; Amit Kant Pandit
International Journal of Nanotechnology (IJNT), Vol. 19, No. 6/7/8/9/10/11, 2022

Abstract: This paper proposes a productive strategy to separate the leaf area from different plant images. The image analysis in plants plays a critical job in reasonable and gainful farming. Plant image analysis is mainly used to record the plant development plant area and leaf zone etc. Plant leaf segmentation has become a significant task to be examined among these plant characters. For this reason, a strategy for leaf area segmentation from different plant images is made. In this paper we have proposed an algorithm which will segment plant on the basis of L*a*b colour spaces and cluster formation. When our proposed technique is compared to rosette tracker it was found that our proposed algorithm was more efficient in plant leaf segmentation. The results of our proposed algorithm are, accuracy is 79.23%, sensitivity is 85.84%, and specificity is 97.40%.

Online publication date: Mon, 13-Feb-2023

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