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Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is the computation of the focus level for every pixel of an image by means of a focus measure operator. In this work, a methodology to compare the performance of different focus measure operators for(More)
The limited depth-of-field of some cameras prevents them from capturing perfectly focused images when the imaged scene covers a large distance range. In order to compensate for this problem, image fusion has been exploited for combining images captured with different camera settings, thus yielding a higher quality all-in-focus image. Since most current(More)
This paper defines a new methodology of evaluation of edge detectors through measurements on edginess maps instead of on binary edge maps as previous methodologies do. These measurements avoid possible bias introduced by the application-dependent process of generation of binary edge maps from edginess maps. The features of completeness, dis-criminability,(More)
This paper presents a new technique for combining multiple texture feature extraction method s in ord er to classify the pixels of an input image into a set of texture mod els of interest. The problem of integrating multiple texture method s for classification purposes is cast as a collaborativ e d ecision mak ing problem. E ach texture method is consid(More)