آشکارسازی صورت با استفاده از فیلترهای گابور و شبکه‌های عصبی
الموضوعات :
محمود محلوجی
1
(دانشگاه آزاد اسلامی، واحد كاشان)
رضا محمدیان
2
(دانشگاه آزاد اسلامی، واحد كاشان)
الکلمات المفتاحية: آشکارسازی صورت شبکه عصبی فیلتر گابور ویژگی‌های گابور,
ملخص المقالة :
در این مقاله، روشی قدرتمند برای آشکارسازی صورت از زوایای مختلف با استفاده از ترکیب فیلترهای گابور و شبکه عصبی بیان می‌شود. در ابتدا رابطه ریاضی تولید فیلتر گابور مورد بررسی قرار می‌گیرد و در مرحله بعد با بررسی 75 بانک فیلتر مختلف، محدوده مقادیر پارامترهای مؤثر در تولید فیلتر گابور مشخص شده و سپس بهترین مقدار برای آنها به دست می‌آید. شبکه عصبی مورد استفاده در این مقاله از نوع پیش‌خور با روش بازگشتی است و بردار ورودی این شبکه عصبی از کانوالو تصویر با تنها یک فیلتر گابور با زاویه 2/ و فرکانس 2/ در حوزه فرکانس به دست می‌آید. الگوریتم پشنهادی در این مقاله روی 550 تصویر از 2 پایگاه تصویر فرت با پس‌زمینه ساده و مارکوس وبر با پس‌زمینه پیچیده آزمایش شده و دقت آشکارسازی آن به ترتیب 4/98% و 95% است. همچنین به کمک الگوریتم ویولا جونز ناحیه صورت را در 550 نمونه تصویر به دست آورده و مقایسه‌ای بین نتایج به دست آمده از الگوریتم ویولاجونز و الگوریتم پیشنهادی آورده می‌شود.
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