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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3546
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dc.contributor.authorDHAWALE, VIJAY-
dc.contributor.authorDUDUL, SANJAY-
dc.contributor.authorTIDKE, JAYKIRAN-
dc.date.accessioned2023-01-02T11:16:42Z-
dc.date.available2023-01-02T11:16:42Z-
dc.date.issued2021-01-01-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/3546-
dc.description.abstractThe Malvaceae family is a kind of plants, which are commonly found near habitat places in India. The earlier approaches reported in the literature were tedious and time consuming with less accuracy due to the similarity in shape and the exine sculptures of pollens. We describe a new classification approach for the classification of three types of pollen grains of the Malvaceae family based on feature vector comprised of Histogram coefficients and image statistics. The approach presented gives precise accuracy in classification of pollen grains of the same family by using SEM imagesen_US
dc.subjectpollen grainen_US
dc.subjectclassifieren_US
dc.subjectSEMen_US
dc.subjectMalvaceaeen_US
dc.subjectComputational Intelligenceen_US
dc.subjectMulti-layer Perceptron Neural Networken_US
dc.titlePollen Classification of three types of plants of the family Malvaceae using Computational Intelligence Approachen_US
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