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Estimación del modelo de ruido de una imagen de energía local utilizando la distribución Weibull
Noise estimation of a local energy image
DOI:
https://doi.org/10.15446/recolma.v57n2.115855Parole chiave:
Procesamiento de imagenes, metodos computacionales, estimacion puntual (es)Image processing, Computational methods, Point estimation (en)
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La congruencia de fase es una técnica de procesamiento de imágenes relativamente desconocida y potente para la segmentación. No obstante, una limitación de este método es su alta sensibilidad al ruido; en ese sentido, para evitar que el ruido afecte los resultados de la segmentación, es necesaria una buena estimación de su nivel, teniendo en cuenta que en la congruencia de fase, esta estimación se realiza a partir de la imagen de la energía local. Por lo tanto, con el fin de mejorar los resultados de la técnica, es indispensable realizar una buena detección del umbral de ruido. Por esta razón, en este trabajo se introduce un método eficiente para la estimación de los parámetros de una distribución Weibull, empleada para modelar el ruido de la imagen de energía de la congruencia de fase.
Phase congruency is a relatively unknown and powerful image processing technique for segmentation, which has been used in image processing. However, a limitation of this technique is its sensitivity to noise. Therefore, to prevent that noise affects segmentation results, it is necessary a good estimation of its level, considering that in phase congruency, this estimation is based on the local energy image. Consequently, to improve the results of this technique, it is essential to perform a good detection of the noise threshold. In this work, we introduce an efficient method to estimate parameters of a Weibull distribution which is used to modelate the noise of energy image in phase congruency.
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