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A Novel Method for the Separation of Overlapping Pollen Species for Automated Detection and Classification
المؤلفون المشاركون
Tello-Mijares, Santiago
Flores, Francisco
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-03-10
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The identification of pollen in an automated way will accelerate different tasks and applications of palynology to aid in, among others, climate change studies, medical allergies calendar, and forensic science.
The aim of this paper is to develop a system that automatically captures a hundred microscopic images of pollen and classifies them into the 12 different species from Lagunera Region, Mexico.
Many times, the pollen is overlapping on the microscopic images, which increases the difficulty for its automated identification and classification.
This paper focuses on a method to segment the overlapping pollen.
First, the proposed method segments the overlapping pollen.
Second, the method separates the pollen based on the mean shift process (100% segmentation) and erosion by H-minima based on the Fibonacci series.
Thus, pollen is characterized by its shape, color, and texture for training and evaluating the performance of three classification techniques: random tree forest, multilayer perceptron, and Bayes net.
Using the newly developed system, we obtained segmentation results of 100% and classification on top of 96.2% and 96.1% in recall and precision using multilayer perceptron in twofold cross validation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tello-Mijares, Santiago& Flores, Francisco. 2016. A Novel Method for the Separation of Overlapping Pollen Species for Automated Detection and Classification. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100151
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tello-Mijares, Santiago& Flores, Francisco. A Novel Method for the Separation of Overlapping Pollen Species for Automated Detection and Classification. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1100151
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tello-Mijares, Santiago& Flores, Francisco. A Novel Method for the Separation of Overlapping Pollen Species for Automated Detection and Classification. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100151
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100151
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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