Fusion Et Fouille De Donnees Guidees Par Les Connaissances: Application a L’analyse D’image

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

With the development of acquisition image techniques, more and more data comingfrom different sources of image become available. Multi-modality image fusion seeks tocombine information from different images to obtain more inferences than can be derivedfrom a single modality. In medical imaging based application fields, image fusion hasemerged as a promising research area since the end of the last century.In this study we propose an architecture of an information fusion system based on thepossibility theory for the segmentation of a target from multiple image sources. Our mainapplication concerns the segmentation of multispectral MR images. The fusion process isdecomposed into three basic phases. We model the information extracted from T2-weighted and PD-weighted images within a common framework, the retained formalism is thealgorithm FPCM (Fuzzy Possibilistic C-means). We then combine this information with anoperator of fusion taking into account redundancy and complementarities. We construct in the lastphase a synthetic information allowing to exploit the results of fusion. Some results are presentedand discussed

روابط وملفات

التعريف والنوع

رقم الوثيقة

fe1faca6-fe58-4f0c-a2b2-0d5ff848ca8d

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf text

أسماء الملفات

291327_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Abdelouahab Moussaoui ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Chaabane Lamiche","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

French

المصدر والدورية

اسم المصدر

Fusion Et Fouille De Donnees Guidees Par Les Connaissances: Application a L’analyse D’image

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Abdelouahab Moussaoui

الإعداد

Chaabane Lamiche

الاقتباسات الببليوغرافية