NDLI: Metodología para el desarrollo de nuevas técnicas y algoritmos en el reconocimiento inteligente de imágenes submarinas

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Metodología para el desarrollo de nuevas técnicas y algoritmos en el reconocimiento inteligente de imágenes submarinas

Content Provider	Semantic Scholar
Author	Maza, Zamanillo Sainz De La Isabel, María
Copyright Year	2013
Abstract	espanolEsta tesis presenta un conjunto de tecnicas y algoritmos que en el pasado han sido utilizadas en el filtrado digital de imagenes opticas y esta vez se han aplicado en imagenes acusticas, mas concretamente, en imagenes submarinas procedentes de un sonar de barrido lateral de un solo haz. Para ello, se ha implementado un programa en Matlab con una interfaz de aspecto intuitivo y amigable en el que se pueden probar los distintos filtros y ver el efecto que producen en la imagen. Este proceso se realiza con la finalidad de optimizar la imagen, pero teniendo especial cuidado en la eliminacion del ruido y el resaltado de bordes. Una vez realizado el preprocesado de la imagen, es el turno de la segmentacion de la imagen aplicando un filtro de reconocimiento de objetos hechos por el hombre, que resulta ser muy util a la hora de inspeccionar los fondos marinos. EnglishThis thesis presents a collection of techniques and algorithms that in the past have been used in digital filtering of optical images and this time have been applied in acoustic images, more specifically, in underwater images from a sidescan sonar of single beam. For this, a program has been implemented in Matlab with an intuitive and user-friendly interface where the user can try out different filters and see the effect they have on the image. This process is performed in order to optimize the image, but taking special care in removing noise and finding edges. After the image pre-processing, it is time for the image segmentation applying a recognition filter of man-made objects, which is very useful for inspecting the seabed.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://repositorio.unican.es/xmlui/bitstream/handle/10902/3315/Tesis%20IZSM.pdf?isAllowed=y&sequence=7
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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