Elena Galán-Perales

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In this paper a fuzzy approach for image retrieval on the basis of color features is presented. The proposal deals with vagueness in the color description and introduces the use of fuzzy database models to store and retrieve imprecise data. To face the color description, the concept of dominant fuzzy color is proposed, using linguistic labels for(More)
In this paper we introduce a methodology for the segmentation of colour images by means of a nested hierarchy of fuzzy partitions. Colour image segmentation attempts to divide the pixels of an image in several homogeneously-coloured and topologically connected groups, called regions. Our methodology deals with the different (but related) aspects of(More)
Texture is a visual feature frequently used in image analysis that has associated certain vagueness. However, the majority of the approaches found in the literature do not either consider such vagueness or they do not take into account human perception to model the related uncertainty. In this paper we model the concept of ”coarseness”, one of the most(More)
In this paper we study different measures of path homogeneity for fuzzy path-based image segmentation. We provide fuzzy semantics for the concept of homogeneity in two steps: first, we introduce a fuzzy interpretation of resemblance between feature vectors characterizing neighbor pixels; then, we obtain the homogeneity of a path by aggregating the set of(More)
Coarseness is a very important textural concept that has been widely analyzed in computer vision for years. However, a model which allows to represent different perception degrees of this textural concept in the same way that humans perceive texture is needed. In this paper we propose a model that associates computational measures to human perception by(More)
In this paper, a new approach to optical flow estimation in presence of multiple motions is presented. Firstly, motions are segmented on the basis of a frequency-based approach that groups spatio-temporal filter responses with continuity in its motion (each group will define a motion pattern). Then, the gradient constraint is applied to the output of each(More)
Fineness is a primary texture feature frequently used for image content description. However, it is an ambiguous concept difficult to be characterized. To face this ambiguity, we propose to model the fineness by means of fuzzy sets, relating a representative fineness measure (our reference set) with the human perception of fineness. In our study, a wide(More)
Although "texture" is one of the most used features in image analysis, it is an ambiguous concept which, in many cases, is not easy to characterize. In this paper we face the problem of imprecision in texture description by proposing a methodology to represent texture concepts by means of fuzzy sets. Specifically, we model the concept of "coarseness", the(More)
In this paper we introduce a fuzzy approach for image retrieval based on color features. Our method deals with two problems related to imprecision: the vagueness in the color description and the representation of fuzzy data in database models. To face the first problem, the concept of dominant fuzzy color is introduced to describe the image, using(More)
In this paper we model the concept of ”coarseness”, typically used in texture image descriptions, by means of fuzzy sets. Specifically, we relate representative measures of this kind of texture with its presence degree. To obtain these ”presence degrees”, we collect assessments from polls filled by human subjects, performing an aggregation of these(More)
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