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Customized First and Second Order Statistics Based Operators to Support Advanced Texture Analysis of MRI Images
المؤلفون المشاركون
Avola, Danilo
Placidi, Giuseppe
Cinque, Luigi
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-12
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Texture analysis is the process of highlighting key characteristics thus providing an exhaustive and unambiguous mathematical description of any object represented in a digital image.
Each characteristic is connected to a specific property of the object.
In some cases the mentioned properties represent aspects visually perceptible which can be detected by developing operators based on Computer Vision techniques.
In other cases these properties are not visually perceptible and their computation is obtained by developing operators based on Image Understanding approaches.
Pixels composing high quality medical images can be considered the result of a stochastic process since they represent morphological or physiological processes.
Empirical observations have shown that these images have visually perceptible and hidden significant aspects.
For these reasons, the operators can be developed by means of a statistical approach.
In this paper we present a set of customized first and second order statistics based operators to perform advanced texture analysis of Magnetic Resonance Imaging (MRI) images.
In particular, we specify the main rules defining the role of an operator and its relationship with other operators.
Extensive experiments carried out on a wide dataset of MRI images of different body regions demonstrating usefulness and accuracy of the proposed approach are also reported.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Avola, Danilo& Cinque, Luigi& Placidi, Giuseppe. 2013. Customized First and Second Order Statistics Based Operators to Support Advanced Texture Analysis of MRI Images. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-455058
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Avola, Danilo…[et al.]. Customized First and Second Order Statistics Based Operators to Support Advanced Texture Analysis of MRI Images. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-455058
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Avola, Danilo& Cinque, Luigi& Placidi, Giuseppe. Customized First and Second Order Statistics Based Operators to Support Advanced Texture Analysis of MRI Images. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-455058
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-455058
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