“Urban Pixels” are wireless, solar-powered lighting units for cities that blur the boundary between digital display technology and traditional urban lighting. By combining a renewable energy source with RF communication it is possible to achieve a self-sustaining, distributed display network that can be attached to any building surface and reconfigured with ease. Depending on their configuratio...

The contact perimeter of a shape composed of pixels is the number of joints between neighboring pixels of the shape, and the contact area of a shape composed of voxels (three dimensional cells) is the number of planar joints between neighboring voxels. In this paper, we present the maximal contact perimeter function for shapes composed of pixels, and the maximal contact area function for voxel-...

We present a novel EM algorithm for model-based image segmentation which incorporates efficient and economical spatial constrains among pixels via a Markov random field model. We adopt a generative model in which the unobserved class labels of neighboring pixels in the image are assumed to be generated by prior distributions with similar parameters. We derive a penalized log-likelihood optimiza...

Due to the speckle effect of coherent imaging the detection of lines in SAR scenes is considerably more difficult than in optical images. A new approach to detect lines in noisy images using a Markov random field (MRF) model and Bayesian classification is proposed. The unobservable object classes of single pixels are assumed to fulfill the Markov condition, i.e. to depend on the object classes ...

Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research compression on the Spiral Architecture focused on the properties of the pixel address labeling scheme. This gives rise to the property of interest which is the physical proximity of the hexagonal pixels with neighboring addresses. It was shown that rectangular systems have vertical ph...

Region-based image segmentation is one popular approach to image segmentation of generic images. In these methods, an image is partitioned into connected regions by grouping neighboring pixels of similar features, and adjacent regions are then merged with respect to the similarities between the features in these regions. To achieve fine-grain segmentation at the pixel level, we must be able to ...