Encontrados 6 documentos, a visualizar página 1 de 1
A vision-based system for automatic growing ring detection and measurement
Vaz, C.; Carvalho, P.; Duarte, F.; Dourado, A.An automatic visual inspection system for wood growing ring identification and measurement is described. Given the irregular contrast distributions in wood samples, the identification of these elements is not straightforward. Furthermore, it is observed that many rings exhibit very narrow widths. To overcome these problems, several new methods are introduced, namely at the local image scale definition and at th...
Genome-wide scan in Portuguese Island families implicates multiple loci in bipo...
Pato, Carlos N.; Pato, M. T.; Kirby, A.; Petryshen, T. L.; Medeiros, H.; Carvalho, C.; Macedo, A.; Dourado, A.; Coelho, I.; Valente, J.; Soares, M. J.As part of an extensive study in the Portuguese Island population of families with multiple patients suffering from bipolar disorder and schizophrenia, we performed an initial genome-wide scan of 16 extended families with bipolar disorder that identified three regions on chromosomes 2, 11, and 19 with genome-wide suggestive linkage and several other regions, including chromosome 6q, also approached suggestive l...
Adaptive RBFNN versus conventional self-tuning: comparison of two parametric mo...
Pereira, C.; Henriques, J.; Dourado, A.In this work a practical study evaluates two parametric modelling approaches -- linear and non-linear (neural) -- for automatic adaptive control. The neural adaptive control is based on a developed hybrid learning technique using an adaptive (on-line) learning rate for a Gaussian radial basis function neural network. The linear approach is used for a self-tuning pole-placement controller. A selective forgetting...
An automatic system for dirt in pulp inspection using hierarchical image segmen...
Duarte, F.; Araújo, H.; Dourado, A.An automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper i...
An automatic optical sensor for vessels and fibbers quality inspection in pulp ...
Carvalho, P.; Araújo, H.; Dourado, A.Wood quality assessment is an important issue in the pulp and paper industry. In this paper an automatic visual inspection system for wood structural quality measurement is described. To improve statistical image segmentation a new logarithm based global contrast enhancement technique is described. Region identification and reconstruction is performed based on local morphological operators with constrained merg...
Industrial visual inspection of lime granules by neural networks
Carvalho, P.; Costa, N.; Ribeiro, B.; Dourado, A.Lime granule quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime granule automatic visual inspection. Several correction steps to Landau's method are also introduced. ; http://www.sciencedirect.com/science/article/B6V27-3WXX91K-1C/1/0b2b4fa00edc54eb3670b9819890f8ad
| Financiadores do RCAAP | |||||||
|
|
|
|
|
|
||