Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5078
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dc.contributor.authorSingh, Puneeten_US
dc.contributor.authorChatterjee, Amiten_US
dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:38:37Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:38:37Z-
dc.date.issued2021-
dc.identifier.citationSingh, 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_18en_US
dc.identifier.isbn9789811597077-
dc.identifier.issn2194-1009-
dc.identifier.otherEID(2-s2.0-85107272662)-
dc.identifier.urihttps://doi.org/10.1007/978-981-15-9708-4_18-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5078-
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceSpringer Proceedings in Mathematics and Statisticsen_US
dc.subjectAstrophysicsen_US
dc.subjectCCD camerasen_US
dc.subjectIndexing (of information)en_US
dc.subjectNanoelectronicsen_US
dc.subjectSpeckleen_US
dc.subjectAbsolute valuesen_US
dc.subjectGermination conditionsen_US
dc.subjectIndexing techniquesen_US
dc.subjectInertia momenten_US
dc.subjectInhomogeneitiesen_US
dc.subjectNon-destructive techniqueen_US
dc.subjectPhaseolus vulgarisen_US
dc.subjectSpeckle patternsen_US
dc.subjectSeeden_US
dc.titleViability Assessment of Kidney Bean Seed (Phaseolus Vulgaris sp.) Using Robust Biospeckle Indexing Techniqueen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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