Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation based on oscillatory correlation
Neural Computation
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing with spiking neurons
Pulsed neural networks
The handbook of brain theory and neural networks
Histogram clustering for unsupervised segmentation and image retrieval
Pattern Recognition Letters
Synchrony and desynchrony in integrate-and-fire oscillators
Neural Computation
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
A Competitive-Layer Model for Feature Binding and Sensory Segmentation
Neural Computation
Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)
Texture segmentation using Gaussian-Markov random fields and neural oscillator networks
IEEE Transactions on Neural Networks
A computational neuroscience model of working memory with application to robot perceptual learning
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Segmentation and Edge Detection Based on Spiking Neural Network Model
Neural Processing Letters
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
An automated vision based on-line novel percept detection method for a mobile robot
Robotics and Autonomous Systems
| Hi-index | 0.00 |
A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to image segmentation. Lateral excitatory connections between neighboring image sites yield a local smoothing of segments. The mean firing rate of class membership neurons encodes the image segmentation. A weight modification scheme is proposed that estimates segment-specific prototypical histograms. The robustness properties of the network implementation make it amenable to an analog VLSI realization. Results on synthetic and real-world images demonstrate the effectiveness of the architecture.