آشكارسازي عيوب بافتي پارچه با استفاده از شكل بهبوديافته الگوي باينري محلي
الموضوعات :
فرشاد تاجری‌پور
1
(دانشگاه تربیت مدرس)
احسان‌اله کبیر
2
(دانشگاه تربیت مدرس)
عباس شیخی
3
(دانشگاه شیراز)
الکلمات المفتاحية: آشكارسازيالگوي باينري محليبافتبينایي ماشينپارچهعيوب بافتي,
ملخص المقالة :
يكي از روش‌هايي كه در عين سادگي مي‌تواند ويژگي‌هاي مناسبي براي طبقه‌بندي بافت تصوير با دقت بالا توليد كند، الگوي باينري محلي است. در اين مقاله روشي براي آشكارسازي عيوب بافتي پارچه با استفاده از اين ويژگي‌ها ارائه شده است. ابتدا در مرحله آموزش، عملگر الگوي باينري محلي روي كل تصوير پارچه سالم پيكسل به پيكسل اعمال مي‌شود و بردار ويژگي‌هاي مبنا به دست مي‌آيد. سپس اين تصوير به پنجره‌هايي تقسيم شده و عملگر الگوي باينري محلي روي هر كدام از اين پنجره‌ها اعمال شده و بر اساس مقايسه با بردار ويژگي مبنا يك حد آستانه مناسب براي سالم‌بودن پنجره‌ها محاسبه مي‌شود. در هنگام آشكارسازي، تصوير مورد بررسي به پنجره‌هايي تقسيم شده و با استفاده از حد آستانه محاسبه‌شده، پنجره‌هايي كه به قسمت‌هاي معيوب تصوير تعلق دارند مشخص مي‌شود. روش ارائه‌شده نسبت به انتقال تصوير و تغيير شدت روشنايي نقاط تصوير حساس نيست و از آن مي‌توان براي آشكارسازي عيوب بافتي در پارچه‌هاي بدون طرح و پارچه‌هاي طرح‌دار استفاده كرد. با توجه به سادگي روش، پياده‌سازي آن به صورت برخط ميسر است. نتايج به دست آمده نشان مي‌دهد كه دسته وسيعي از عيوب بافتي پارچه با اين روش به صورت مطلوب قابل آشكارسازي هستند.
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