یک روش‌ مقاوم آشکارسازی لبه با دقّت زیرپیکسل در حضور نویز

نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناس ارشد - دانشکده مهندسی برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، اصفهان، ایران

2 استادیار- دانشکده مهندسی برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، اصفهان، ایران

چکیده

آشکارسازی لبه یکی از مهم‌ترین مسائل مطرح در پردازش تصویر و بینایی ماشین می‌باشد. لبه‌یابی یکی از فرآیندهای مرتبه پایین در پردازش تصاویر می‌باشد، به‌ طوری که عملکرد فرآیندهای مرتبه بالاتر مانند تشخیص اشیاء، قطعه‌بندی و کدگذاری تصاویر مستقیماً به کارآیی این پردازش سطح پایین وابسته است. برآورد پارامترهای لبه با استفاده از محاسبۀ بردار گرادیان معمولاً دقیق نیست. حفظ ساختار لبه یکی از بارزترین مسائلی است که باید در آشکارسازی، به‌ویژه آشکارسازی تصاویر نویزدار مورد توجه قرار گیرد. برای کاربردهای عملی که لبه‌های دقیق مورد نیاز است، آشکارسازی لبه‌ در مقیاس زیرپیکسل انجام می‌شود. در این مقاله یک روش جدید آشکارساز لبه معرفی می‌شود که بر اساس شکل لبه و مدل به ‌دست آمده از تأثیر پیکسل‌های مجاور و روابط مکانی پیکسل‌های تصویر، اقدام به لبه‌یابی می‌کند. سپس یک روند ترمیم تکرار شونده بر اساس لبه‌یاب معرفی شده پیشنهاد می‌شود. هدف این روش افزایش دقّت در شناسایی موقعیت زیرپیکسل، انحنا، جهت، و تغییرات شدّت لبه‌ در تصاویر نویزدار است

کلیدواژه‌ها


عنوان مقاله [English]

Robust Edge Detection Method with Subpixel Accuracy in Presence of Noise

نویسندگان [English]

  • Masoud Alidoust 1
  • Mansoor Zeinali 2
  • Homayoun Mahdavi-Nasab 2
1 MSc.- Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Esfahan, Iran
2 Assistant Professor - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Esfahan, Iran
چکیده [English]

Edge detection is one of the most important issues in image processing and machine vision. Edge detection in image processing is a low order process, so that the performance of the higher order processes such as object identification, segmentation and coding of images is directly related to the efficiency of this process. The estimation of edge parameters with using gradient vector calculation is usually not accurate. Keeping the structure of edge is one of the most important problems in edge detection, especially in detecting noisy images. For practical applications that accurate edges are needed, subpixel edge detection is done. In this paper a new edge detection method based on edge figure and obtained model from neighboring pixels effect and spatial relation of image pixels is introduced. Then an iterative restoration process based on presented edge detector is suggested. The purpose of this method is to increase the accuracy in recognition of subpixel position, curvature, orientation and change in intensity in noisy images.

کلیدواژه‌ها [English]

  • image processing
  • Edge detection
  • subpixel accuracy
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