A hybrid deep learning approach for texture analysis

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Texture classification is a problem that has various applications such as remote sensing and forest species recognition. Solutions tend to be custom fit to the dataset used but fails to generalize. The Convolutional Neural Network (CNN) in combination with Support Vector Machine (SVM) form a robust selection between powerful invariant feature extractor and accurate classifier. The fusion of classifiers shows the stability of classification among different datasets and slight improvement compared to state of the art methods. The classifiers are fused using confusion matrix after independent training of each using the same training set, then put to test. Statistical information about each classifier is fed to a confusion matrix that generates two confidence measures used in building two binary classifiers. The binary classifier is allowed to activate or deactivate a classifier during testing time based on a confidence measure obtained from the confusion matrix. The method obtained results approaching state of the art with a difference less than 1% in classification success rates. Moreover, the method was able to maintain this success rate among different datasets while other methods had failed to obtain similar stability. Two datasets had been used in this research Brodatz and Kylberg where the results came 98.17% and 99.70%. In comparison to conventional methods in the literature, it came as 98.9% and 99.64% respectively.

روابط وملفات

التعريف والنوع

رقم الوثيقة

03485bd2-4196-4fd3-b7eb-4a6bdd780093

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf image

أسماء الملفات

03485bd2-4196-4fd3-b7eb-4a6bdd780093_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"حسين محمد عدلي","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"محمد مصطفى","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

A hybrid deep learning approach for texture analysis

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

محمد مصطفى

الإعداد

حسين محمد عدلي

الاقتباسات الببليوغرافية