Abstract
Segmenting disease spots in leafs is achieved by Comprehensive Color feature (CCF), grayscale conversion and region growing method is discussed. Segmenting disease spots under real-field conditions with uneven illumination and clutter background has been a major challenge. Uneven illumination issues solves by applying Excess Red index, H component of HSV and grayscale conversion by using SVD, clutter background problem solves by applying region-growing method. Performance of these methods is calculated using precision, and its accurate segmentation is 89% under real-field condition.
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Jothiaruna, N., Joseph Abraham Sundar, K. (2020). A Segmentation Method for Comprehensive Color Feature with Color-to-Grayscale Conversion Using SVD and Region-Growing Method. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_24
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DOI: https://doi.org/10.1007/978-981-15-0029-9_24
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