This paper presents a new approach for shape description and invariant recognition by geometric normalization implemented by neural networks The neural system consists of a shape description network a normalization network and a recognition stage based on fuzzy pyramidal neural networks The description network uses a novel approach for hierar chical shape segmentation and representation which e...

Recent studies have revealed a marked degree of variation in the pyramidal cell phenotype in visual, somatosensory, motor and prefrontal cortical areas in the brain of different primates, which are believed to subserve specialized cortical function. In the present study we carried out comparisons of dendritic structure of layer III pyramidal cells in the anterior and posterior cingulate cortex ...

analysis of the performance of this new algorithm for an urban and urban-rural boundary. An automatic height extraction algorithm using a stereoscopic approach and a building detection algorithm using a monoscopic approach are introduced. The auAUTOMATIC HEIGHT tomated height extraction is done using a pyramidal EXTRACTION matching strategy and a silhouette mask made from linHigh resolution urb...

Feature tracking algorithms have conventionally tracked ‘corner’ features or windows with high spatial frequency content. However, this conventional point feature representation of scenes would be inappropriate for poorly textured image sequences like indoor image sequences. To overcome this problem, we propose a feature tracking algorithm which tracks point features and edgelets simultaneously...

(b) merging result, (c) corresponding relational interpretation. (a) a region displaying several holes surrounded by a larger contour, (b) merging result. Fig. 13. Contour based decomposition : (a) initial region and associated contour, (b) result. Fig. 14. Illustration of final results : (a) initial image, (b) final contours, (c) final regions. Fig. 15. Illustration of final results, using a F...

In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural network...

Two-photon imaging of cortical neurons in vivo has provided unique insights into the structure, function, and plasticity of cortical networks, but this method does not currently allow simultaneous imaging of neurons in the superficial and deepest cortical layers. Here, we describe a simple modification that enables simultaneous, long-term imaging of all cortical layers. Using a chronically impl...

The tuberculum sphenoidalis (TS) is an anatomical structure of variable form located at the anterior extremity of the infratemporal crest of the greater wing of the sphenoid. The object of this study was to analyse the morphology and frequency of the TS in macerated skulls. We examined 304 macerated skulls belonging to individuals of both sexes, Amerindian and Caucasian. The TS were classified ...

 Abstract : A visual cryptography scheme based on a given graph G is a method to distribute a secret image among the vertices of G, the participants, so that a subset of participants can recover the secret image if they contain an edge of G, by stacking their shares, otherwise they can obtain no information regarding the secret image. In this paper a maximal independent sets of the graph G was ...

In recent years, hyperspectral image classification techniques have attracted a lot of attention from many scholars because they can be used to model the development different cities and provide reference for urban planning construction. However, due difficulty in obtaining images, only limited number pixels as training samples. Therefore, how adequately extract utilize spatial spectral informa...