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مطابقة القوالب×تحويل هوف×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة1980s1962
صاحب الطريقةComputer vision communityPaul Hough
النوعPattern matching and detectionFeature extraction and pattern recognition
المصدر التأسيسيLewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123. link ↗Hough, P. V. C. (1962). Method and means for recognizing complex patterns. U.S. Patent 3,069,654. link ↗
الأسماء البديلةCorrelation-based matching, Similarity matchingHough Line Detection, Generalized Hough Transform
ذات صلة55
الملخصTemplate matching is a straightforward technique for locating a known pattern (template) within a larger image. By sliding a template image across the target image and computing a similarity measure at each position, template matching identifies locations where the template appears. It is effective for simple object detection when templates are well-defined and appearance variation is limited.The Hough Transform is a technique for detecting lines, circles, and other geometric shapes in digital images. Originally patented by Paul Hough in 1962 and popularized in computer vision by Duda and Hart in 1972, the Hough Transform converts edge points in image space to curves in a parameter space (accumulator space), where collinear or co-circular points cluster and become easily identifiable.
ScholarGateمجموعة البيانات
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Template Matching · Hough Transform. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare