Robot vision
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Markov random field modeling in computer vision
Markov random field modeling in computer vision
Wavelet algorithms for illumination computations
Wavelet algorithms for illumination computations
The perception of shading and reflectance
Perception as Bayesian inference
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
Learning in graphical models
Neural Computation
Appearance-based visual learning and object recognition with illumination invariance
Machine Vision and Applications - special issue on high performance computing for industrial visual inspection
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Digital Image Processing
Locale-Based Visual Object Retrieval under Illumination Change
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Learning Overcomplete Representations
Neural Computation
Variational Bayes for generalized autoregressive models
IEEE Transactions on Signal Processing
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It is well known that even slight changes in nonuniform illumination lead to a large image variability and are crucial for many visual tasks. This paper presents a new ICA related probabilistic model where the number of sources exceeds the number of sensors to perform an image segmentation and illumination removal, simultaneously. We model illumination and reflectance in log space by a generalized autoregressive process and Hidden Gaussian Markov random field, respectively.The model ability to deal with segmentation of illuminated images is compared with a Canny edge detector and homomorphic filtering. We apply the model to two problems: synthetic image segmentation and sea surface pollution detection from intensity images.