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La segmentacin es una operacin importante del procesamiento de imgenes, es una primera etapa para la manipulacin, anlisis o reconocimiento de patrones por medio de la computadora, los mtodos convencionales consisten en segmentarlas en regiones significantes usando operaciones que involucran decisiones estrictas e interpretaciones precisas pero las regiones en una imagen no son siempre definidas exactamente. El inters creciente de los conjuntos difusos para el procesamiento de imgenes y el reconocimiento de patrones es debido a su capacidad para representar lo impreciso. La sntesis entre algoritmos de agrupamiento y la teora de conjuntos difusos ha conducido al desarrollo de varios algoritmos de agrupamiento Fuzzy. La Teora de la Resonancia Adaptable (ART) en las redes neuronales ha permitido el impulso de una tcnica para la clasificacin de patrones con valores tanto binarios como reales. El trabajo propuesto en el libro y sus resultados, estn enfocados al uso del algoritmo de agrupamiento Fuzzy ART, se define una tcnica para segmentacin de imgenes como una forma de realizar clasificacin de patrones utilizando redes neuronales artificiales basadas en ART.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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