A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
A color object recognition scheme: application to cellular sorting
Machine Vision and Applications
Learning a Classification Model for Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Energy Partitions and Image Segmentation
Journal of Mathematical Imaging and Vision
A Metric Approach to Vector-Valued Image Segmentation
International Journal of Computer Vision
Semi-Supervised Classification Using Linear Neighborhood Propagation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
A tutorial on spectral clustering
Statistics and Computing
Semi-Supervised Learning
Regularization on discrete spaces
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
Regions adjacency graph applied to color image segmentation
IEEE Transactions on Image Processing
The digital TV filter and nonlinear denoising
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
High-throughput analysis of multispectral images of breast cancer tissue
IEEE Transactions on Image Processing
Classification-Driven Watershed Segmentation
IEEE Transactions on Image Processing
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
IEEE Transactions on Image Processing
Parameterless discrete regularization on graphs for color image filtering
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Generalised Nonlocal Image Smoothing
International Journal of Computer Vision
Semantic segmentation of microscopic images using a morphological hierarchy
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Computer Methods and Programs in Biomedicine
Crypts detection in microscopic images using hierarchical structures
Pattern Recognition Letters
Segmentation of cell nuclei within chained structures in microscopic images of colon sections
Proceedings of the 27th Spring Conference on Computer Graphics
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We propose a framework of graph-based tools for the segmentation of microscopic cellular images. This framework is based on an object oriented analysis of imaging problems in pathology. Our graph tools rely on a general formulation of discrete functional regularization on weighted graphs of arbitrary topology. It leads to a set of useful tools which can be combined together to address various image segmentation problems in pathology. To provide fast image segmentation algorithms, we also propose an image simplification based on graphs as a pre processing step. The abilities of this set of image processing discrete tools are illustrated through automatic and interactive segmentation schemes for color cytological and histological images segmentation problems.