Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature detection from local energy
Pattern Recognition Letters
Subpixel Measurements Using a Moment-Based Edge Operator
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the classification of image features
Pattern Recognition Letters
Coping with Discontinuities in Computer Vision: Their Detection, Classification, and Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
A Local Visual Operator Which Recognizes Edges and Lines
Journal of the ACM (JACM)
Detecting and localizing edges composed of steps,
Detecting and localizing edges composed of steps,
Multi-Scale Blur Estimation and Edge Type Classification for Scene Analysis
International Journal of Computer Vision
Image Field Categorization and Edge/Corner Detection from Gradient Covariance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probability distribution of sub-pixel edge position
Signal Processing
International Journal of Remote Sensing
High-accuracy edge detection with Blurred Edge Model
Image and Vision Computing
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Accurate subpixel edge location based on partial area effect
Image and Vision Computing
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In this paper we describe a new technique for ID and 2D edge feature extraction to subpixel accuracy using edge models and the local energy approach. A candidate edge is modeled as one of a number of parametric edge models, and the fit is refined by a least-squared error fitting technique.