The Prague Texture Segmentation Datagenerator and Benchmark - Users
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Nan Zhao
PhD Student  at  Florida State University; Tallahassee, Florida, US

Deep brain model is an unsupervised segmentation framework with unknown number of classes simulating the deep structure of the primate visual cortex. This model is based on a deep scale space in which a pool of receptive field models in pre-cortical processing and early vision is applied in each scale to produce feature maps. The graph-based image segmentation is then employed to select object boundaries among the edges of superpixels.

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deep_brain_modelNan ZhaoDeep Brain Model