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The bilateral filter (BF) is an important image denoising local filter. It reduces noise in images while preserving edges by means of nonlinear combination of local pixel values. Its formulation and implementation are both simple. However, the BF is not parameter-free. The set of the bilateral filter parameters has an important influence on its behavior and performance. They have to be chosen considering...
This paper proposes a simple method to identify candidate tumors in a set of Positron Emission Tomography (PET) images obtained from patients suffering from lymphoma, and then extract statistics from the image most active tumor. These statistics are used as input for three machine learning algorithms, which generate models for overall survival and event-free survival. The results obtained by these...
The motivation of this paper is the filtering of thin elongated objects, such as veins, fibres etc. In particular, we focus our attention on detecting thin segments and linking them when disconnection is due to noise. A hybrid Hessian-based and morphological linear filtering method is proposed within the framework of scale space theory. For each pixel the second- derivative response kernel is collected...
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