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المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة19981970s
صاحب الطريقةTony LindebergSignal processing community
النوعMulti-scale feature detectionContrast enhancement and preprocessing
المصدر التأسيسيLindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116. DOI ↗Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗
الأسماء البديلةConnected component analysis, Region-based detectionHistogram stretching, Contrast enhancement
ذات صلة55
الملخصBlob 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.Histogram 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.
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  1. v1
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  3. PUBLISHED

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ScholarGateقارن الطرق: Blob Detection · Histogram Equalization. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare