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الموازنة التدرجية×مطابقة القوالب×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة1970s1980s
صاحب الطريقةSignal processing communityComputer vision community
النوعContrast enhancement and preprocessingPattern matching and detection
المصدر التأسيسيGonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗Lewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123. link ↗
الأسماء البديلةHistogram stretching, Contrast enhancementCorrelation-based matching, Similarity matching
ذات صلة55
الملخصHistogram equalization is an image preprocessing technique that redistributes pixel intensities to improve contrast and visibility of details. By spreading the histogram of pixel values evenly across the available range, histogram equalization enhances images with poor contrast, making features more visually distinct and easier to process algorithmically.Template 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.
ScholarGateمجموعة البيانات
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Histogram Equalization · Template Matching. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare