A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Gray Level Thresholding in Badly Illuminated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of binary character/graphics images from grayscale document images
CVGIP: Graphical Models and Image Processing
An analysis of histogram-based thresholding algorithms
CVGIP: Graphical Models and Image Processing
Variational methods in image segmentation
Variational methods in image segmentation
A new approach for multilevel threshold selection
CVGIP: Graphical Models and Image Processing
A framework for low level feature extraction
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
Direct computation of shape cues using scale-adapted spatial derivative operators
International Journal of Computer Vision - Special issue: machine vision research at the Royal Institute of Technology
International Journal of Computer Vision
A Hopfield neural network for adaptive image segmentation: an active surface paradigm
Pattern Recognition Letters
Convergence of an Iterative Method for Total Variation Denoising
SIAM Journal on Numerical Analysis
A Variational Method in Image Recovery
SIAM Journal on Numerical Analysis
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Families of Tuned Scale-Space Kernels
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Regularization, Scale-Space, and Edge Detection Filters
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
The Performance Evaluation of Thresholding Algorithms for Optical character Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Comparison of Multiscale Representations for a Linking-Based Image Segmentation Model
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Behavioral analysis of anisotropic diffusion in image processing
IEEE Transactions on Image Processing
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
Variational approach for edge-preserving regularization using coupled PDEs
IEEE Transactions on Image Processing
Variational image segmentation using boundary functions
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Detection of Retinal Blood Vessels Based on Nonlinear Projections
Journal of Signal Processing Systems
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
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A variational approach for image binarization is discussed in this paper. The approach is based on the interpolation of surface. This interpolation is computed using edge points as interpolating points and minimizing an energy functional which interpolates a smooth threshold surface. A globally convergent Sequential Relaxation Algorithm (SRA) is proposed for solving the optimization problem. Moreover, our algorithm is also formulated in a multi-scale framework. The performance of our method is demonstrated on a variety of real and synthetic images and compared with traditional techniques. Examples show that our method gives promising results.