Skip to main navigation
Skip to search
Skip to main content
Tel Aviv University Home
Update Request & User Guide (TAU staff only)
Link opens in a new tab
Search content at Tel Aviv University
Home
Experts
Research units
Research output
Datasets
Prizes
Activities
Press/Media
Guaranteed Convergence of the Hough Transform
Menashe Soffer
*
,
Nahum Kiryati
*
Corresponding author for this work
Technion-Israel Institute of Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Guaranteed Convergence of the Hough Transform'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Hough Transform
100%
Guaranteed Convergence
100%
Global Maximum
83%
Parameter Space
50%
Image Model
33%
Global Optimization Problem
33%
Space Quantization
33%
Background Noise
16%
Finite number
16%
Straight Line
16%
Random Error
16%
Exhaustive Search
16%
General Functioning
16%
Two-dimensional Functions
16%
Detection Problem
16%
Bounded Domain
16%
Robust Regression
16%
Edge Point
16%
Spatial Statistics
16%
Collinearity
16%
Multi-resolution
16%
Hough Transform Algorithm
16%
Convergence Strategy
16%
M-estimation Procedure
16%
M-estimation
16%
Line Parameters
16%
Number of Function Evaluations
16%
Quantization Interval
16%
Convergence Guarantee
16%
Hough Functions
16%
Continuous Kernel
16%
Statistical Convergence
16%
Hough
16%
Fixed-scale
16%
Engineering
Parameter Space
100%
Optimisation Problem
66%
Image Model
66%
Objective Function
33%
Two Dimensional
33%
Finite Number
33%
Dimensional Function
33%
Priori Knowledge
33%
Estimation Procedure
33%
Straight Line
33%
Exhaustive Search
33%
Grid Point
33%
Initial Estimate
33%
Priori Information
33%
Function Evaluation
33%
Random Error
33%
Edge Point
33%
Mathematics
Hough Transform
100%
Parameter Space
50%
M-Estimation
33%
Objective Function
16%
Parabolic
16%
Finite Number
16%
Random Error
16%
Straight Line
16%
Bounded Domain
16%
Priori Knowledge
16%
Robust Regression
16%
Grid Point
16%
Edge Point
16%
Priori Information
16%
Multiresolution
16%
Function Evaluation
16%
Quantization Interval
16%
Initial Estimate
16%
Collinearity
16%
Computer Science
Hough Transforms
100%
Parameter Space
50%
Optimization Problem
33%
Global Optimization
33%
Objective Function
16%
Exhaustive Search
16%
Estimation Procedure
16%
Priori Knowledge
16%
Background Noise
16%
Priori Information
16%
Dimensional Function
16%
Initial Estimate
16%
Line Parameter
16%
Dependent Parameter
16%
Quantization Interval
16%
Function Evaluation
16%