علوم رایانشی

علوم رایانشی

بازیابی تصاویر محتوا محور با استفاده از ویژگی‌های بافت استخراج شده از الگوی باینری محلی دو لایه

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار، دانشکده مهندسی برق و کامپیوتر، دانشگاه بیرجند، بیرجند، ایران.
2 دانشکده مهندسی برق و کامپیوتر، دانشگاه بیرجند، بیرجند، ایران.
10.22034/csj.2024.197225
چکیده
بازیابی تصاویر و یافتن الگو‌های تصاویر با استفاده از هوش مصنوعی امروزه یکی از مهم‌ترین مسائل در حوزه پردازش تصویر است. بازیابی تصاویر به ما در پیدا کردن تصاویر مشابه در یک مخزن بسیار بزرگ از تصاویر کمک می‌کند. مسئله‌ی پیدا کردن الگوها داخل تصاویر بسیار پیچیده است و راه‌های زیادی برای پیدا کردن الگوها وجود دارد. یکی از این راه‌ها ساخت و استخراج بافت تصاویر است. برای تولید و استخراج بافت الگوریتم‌های زیادی تاکنون بیان شده است که مهم‌ترین آنها الگوی باینری محلی است. در این الگوریتم، برای ساخت بافت از همسایه‌های یک پیکسل که در یک فاصله معین قرار گرفته‌اند استفاده می‌شود. در این مقاله برای ساخت بافت تصاویر از الگوی باینری محلی دو لایه استفاده شده است که به جای یک فاصله معین از چند فاصله، جهت استخراج بافت تصاویر استفاده می‌شود. این کار سبب می‌شود طیف گسترده‌تری از پیکسل‌ها برای ساخت بافت مشارکت کنند. در روش معرفی شده طول بردار ویژگی بزرگ نمی‌شود و سرعت پردازش‌ها بالا می‌باشد، همچنین، روش پیشنهادی در مقایسه با الگوریتم‌های مرتبط گذشته که برای ساخت الگوی باینری پیشنهاد شده‌اند، از نظر شاخص‌های دقت، یادآوری و نمره-اف دارای عملکرد بهتری می‌باشد.
کلیدواژه‌ها
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