Basics of digital photography in dermatology

Digital technology has promoted a great popularization of photographic registration in several medical areas. Because of its visual nature, dermatology has incorporated the benefits of this tool in clinical practice and research. This article aims to offer guidance to the dermatologist who is unfamiliar with this technology, providing basic understanding for the best use of digital photography equipment. ©2006 by Anais Brasileiros de Dermatologia.

Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements

Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active components (OAC). Among these, the phytoplankton pigment chlorophyll a is the most representative pigment of photosynthetic activity in all classes of algae. In this sense, this work aims to develop a method of spatial inference of chlorophyll a concentration using Artificial Neural Networks (ANN). To achieve this purpose, a multispectral image and fluorometric measurements were used as input data. The multispectral image was processed and the net training and validation dataset were carefully chosen. From this, the neural net architecture and its parameters were defined to model the variable of interest. In the end of training phase, the trained network was applied to the image and a qualitative analysis was done. Thus, it was noticed that the integration of fluorometric and multispectral data provided good results in the chlorophyll a inference, when combined in a structure of artificial neural networks.

Potencialidades de uso de imagens IKONOS/GEO para aplicações em áreas urbanas

Pós-graduação em Ciências Cartográficas - FCT

Improving face recognition with multispectral fusion and support vector machines

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)