Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5078
Title: Viability Assessment of Kidney Bean Seed (Phaseolus Vulgaris sp.) Using Robust Biospeckle Indexing Technique
Authors: Singh, Puneet
Chatterjee, Amit
Bhatia, Vimal
Keywords: Astrophysics;CCD cameras;Indexing (of information);Nanoelectronics;Speckle;Absolute values;Germination conditions;Indexing techniques;Inertia moment;Inhomogeneities;Non-destructive technique;Phaseolus vulgaris;Speckle patterns;Seed
Issue Date: 2021
Publisher: Springer
Citation: Singh, P., Chatterjee, A., Bhatia, V., & Prakash, S. (2021). Viability assessment of kidney bean seed (phaseolus vulgaris sp.) using robust biospeckle indexing technique. Paper presented at the Springer Proceedings in Mathematics and Statistics, , 342 189-195. doi:10.1007/978-981-15-9708-4_18
Abstract: In this work, we have used biospeckle analysis to assess the viability of kidney bean seeds. Biospeckle analysis is a noncontact and nondestructive technique for the detection and evaluation of different biological and nonbiological samples when illuminated by a highly coherent laser source. Groups of kidney seeds (viable and nonviable) were provided similar germination conditions for the same time. Activity images for each group were recorded through a CCD camera and processed using highly efficient robust indexing based inertia moment (IM) and absolute value of difference (AVD) techniques. To consider the inhomogeneity of the sample, the random time history of speckle pattern (RTHSP) was used. Obtained results conclusively establish biospeckle analysis as an efficient tool for evaluating the viability of kidney beans. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
URI: https://doi.org/10.1007/978-981-15-9708-4_18
https://dspace.iiti.ac.in/handle/123456789/5078
ISBN: 9789811597077
ISSN: 2194-1009
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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