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الموازنة التدرجية×اكتشاف الكتل×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة1970s1998
صاحب الطريقةSignal processing communityTony Lindeberg
النوعContrast enhancement and preprocessingMulti-scale feature detection
المصدر التأسيسيGonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116. DOI ↗
الأسماء البديلةHistogram stretching, Contrast enhancementConnected component analysis, Region-based detection
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.Blob detection is a technique for identifying regions of interest (blobs)—connected, homogeneous areas that differ from their surroundings—at multiple scales. Introduced by Lindeberg in the context of scale-space theory, blob detection automatically finds and characterizes circular or elliptical objects without requiring a priori knowledge of their size.
ScholarGateمجموعة البيانات
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ScholarGateقارن الطرق: Histogram Equalization · Blob Detection. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare