اسلوب جديد لتميز انماط الاشكال اعتمادا على صفات محيط الشكل المستخرجة بواسطة خوارزمية تبسيط الخط
DOI:
https://doi.org/10.21123/bsj.2024.9517الكلمات المفتاحية:
دوكلاس بوكر, تبسيط الخط,تمييز الانماط,تمييز الاشكال SVMالملخص
تعتبر عملية تمييز الانماط الاشكال احدى المهام الرئيسة في التطبيقات المتعلقة بروئية الماكنة وذلك اعتمادا على التقنيات المعتمدة في استخلاص صفات الشكل والتي تكون مصنفة على اساس المحيط او المنطقة الداخلية للشكل.في هذا البحث تم التطرق الى اقتراح خوارزمية لاستخلاص متجة صفات الشكل اعتمادا على مجموعة النقاط التقديرية لمحيط الشكل اعتماداى على خوارزمية )دوكلاس بوكر( عن طريق تكرار استدعاء الخوارزمية لعدد غير محدد من المرات بعد الابتداء بحد سماحية التقارب وزيادة قيمته بصور تصاعدية مع كل تكرار لغاية الحصول على العدد المطلوب. ومقابل كل عدد لناقط التقارب يتم توليد متجة الصفات اعتمدا على مصفوفة المسافة واجراء فحص تميز نمط الشكل مع انماط الاشكال المخزونة في قاعدة الاشكال .لاجل بيان الافتراض القائم على ان هل هنالك عدد امثل لنقاط التقارب المستخرجة من خوارزية التقارب تكون مثلى لتحقيق اعلى نسبة للتمييز.تم اجراء الاختبار على مجموعة الاشكال الاختبارية MPEG-7)) باستخدام المصنف متجة الماكنة الداعم(SVM) وتبين صحة الفرضية بوجود عدد محدد لنقاط القارب يحقق اعلى نسبة تمييز بنسبة 0.961
Received 22/09/2023
Revised 25/02/2024
Accepted 27/02/2024
Published Online First 20/07/2024
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