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الموازنة التدرجية×عمليات التشكل الصوري×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة1970s1982
صاحب الطريقةSignal processing communityJean Serra
النوعContrast enhancement and preprocessingSet theory and topological image processing
المصدر التأسيسيGonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗
الأسماء البديلةHistogram stretching, Contrast enhancementMathematical morphology, Morphological filtering
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.Morphological image processing, introduced by Jean Serra in 1982, is a technique based on set theory that reshapes and analyzes image regions using geometric structuring elements. Core operations include erosion and dilation, which can be combined into more complex operations like opening and closing, enabling noise removal, edge detection, and object analysis.
ScholarGateمجموعة البيانات
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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