Linganisha mbinu

	Nadharia ya nafasi-kiwango	Utambuzi wa Ncha kwa Kutumia Canny
Nyanja	Maono ya Kompyuta	Maono ya Kompyuta
Familia	Machine learning	Machine learning
Mwaka wa asili	1983	1986
Mwanzilishi	Andrew Witkin and Tony Lindeberg	John Canny
Aina	Theoretical framework for multi-scale processing	Image gradient analysis
Chanzo asilia	Lindeberg, T. (1994). Scale-space theory: A basic tool for analyzing structures at different scales. Journal of Applied Statistics, 21(2), 225–270.	Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679–698.
Majina mbadala	Multi-scale analysis, Gaussian scale-space	Canny operator, Canny edge detector
Zinazohusiana	5	5
Muhtasari	Scale-space theory, developed by Witkin and Lindeberg, provides a principled mathematical framework for analyzing images at multiple scales simultaneously. By treating scale as an explicit dimension and using Gaussian blurring, scale-space theory enables detection and analysis of features at appropriate scales, solving the fundamental problem of 'which scale should I analyze at?'	The Canny edge detector, introduced by John Canny in 1986, is a multi-stage algorithm for identifying edges in digital images where significant intensity changes occur. Canny's method is optimal for step edges in additive Gaussian noise and remains the gold standard for edge detection in computer vision due to its mathematical elegance and practical effectiveness.