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We present a methodology for the automatic identification and delineation of germ-layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells. A knowledge and understanding of the biology of these cells may lead to advances in tissue regeneration and repair, the treatment of genetic and developmental syndromes, and drug testing and discovery...
This paper addresses the problem of image semantic segmentation (or semantic labelling), that is the association of one of a predefined set of semantic categories (e.g. cow, car, face) to each image pixel. We adopt a patch-based approach, in which super-pixel elements are obtained via oversegmentation of the original image. We then train a conditional random field on heterogeneous descriptors extracted...
In this study, a new edge-directed image interpolation approach using visual attention model and particle swarm optimization (PSO) is proposed. First, a high-quality saliency map of an image to be interpolated is generated by the proposed visual attention model in an effective manner. Then, based on the saliency map, bilinear interpolation and the proposed PSO interpolation are employed for non-saliency...
A mobile robot can determine its rotation with respect to a goal position by comparing the image taken at the goal with the current image. Assuming that both images are omnidirectional, the current image can be shifted horizontally to determine the minimum difference with the goal image, and hence the rotation. The size of the region around the goal wherein this strategy succeeds is reduced by the...
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