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An intelligent web service for classifying digital imagery by using rough sets
Servicio web inteligente para la clasificación de imágenes digitales utilizando conjuntos aproximados
Keywords:
rough sets, indiscernibility, lower approximation, upper approximation, decision system, Web service, digital image (en)conjuntos aproximados, inseparabilidad, aproximación inferior, aproximación superior, sistema de decisión, servicio web, imagen digital (es)
Integrating recent developments in service-orientated computing, Web technologies and computational intelligence has facilitated the development of applications for solving complex problems in several fields of scientific and technological research. Rough sets theory provides a solid theoretical background within the computational intelligence (CI) field for the qualitative reasoning required for analysing datasets loaded with uncertainties due to the vagueness and lack of precision associated with them. This paper describes the development of an intelligent Web service to process digital imagery, demonstrating the benefits of rough sets theory in dealing with the flexible supervised classification of the pixels associated with them.
La integración de los avances en computación orientada a servicios, con aquellos alcanzados por la tecnología de la web y la inteligencia computacional, facilita el desarrollo de aplicaciones complejas para la solución de problemas de manera transversa en los diversos ámbitos de la investigación científica y tecnológica. Desde el campo de la inteligencia computacional la teoría de los conjuntos aproximados aporta un sólido fundamento teórico al razonamiento cualitativo exigido por el análisis de datos, caracterizados por la incertidumbre generada por la vaguedad e imprecisión asociada a éstos. El presente trabajo describe el desarrollo de un servicio web inteligente aplicado al procesamiento digital de imágenes, ilustrando las bondades de los conjuntos aproximados, para abordar de modo flexible y supervisado la clasificación de los pixeles asociados a ellas.
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