Usporedite metode

	Detekcija mrlja	Harris Corner Detection
Područje	Računalni vid	Računalni vid
Obitelj	Machine learning	Machine learning
Godina nastanka	1998	1988
Tvorac	Tony Lindeberg	Chris Harris and Mike Stephens
Vrsta	Multi-scale feature detection	Interest point detector
Temeljni izvor	Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116.	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.
Drugi nazivi	Connected component analysis, Region-based detection	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator
Srodne	5	5
Sažetak	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.	The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.