Screening for disease has been a widely accepted practice in healthcare since the twentieth century. Nowadays, in most developed countries we can find organized screening programs in different types of cancer (breast, cervical and colorectal are the most common) and for antenatal and newborns. Two clinical fields where the potential benefits of screening are very promising and have received worldwide attention are eye diseases, like diabetic retinopathy or glaucoma, and skin diseases, like melanoma and non-melanoma skin cancer.

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Inductive Loop Detectors (ILD) are the most commonly used sensors in traffic management systems. Using the acquired inductive signatures, most proposed systems classify the vehicles using a criterion based on the estimation of the vehicle length, which requires to have a good a-priori estimate of its speed. Contrary to such standard proposals, in this paper we present a method for vehicle classification based on the criterion of the Fourier Transform (FT), which shows several interesting properties: firstly, robustness against variations in vehicle speed or constant acceleration, and secondly, only one inductive signature is required. Our method will be evaluated using real inductive signatures captured with a hardware prototype also developed by us.

Aplicación a imágenes de uso agrícola 4 5.3.5 Evaluación del método Singularidad-CV mediante una imagen sintética en 3D de suelo 5.3.6 Comparación de los diferentes métodos de segmentación usando TAC de suelo real CAPÍTULO 6-COMBINACIÓN DE MÉTODOS DE SEGMENTACIÓN