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In this paper, we propose to model the contrast of visual texture by means of a perceptual-based fuzzy approach. For this modelling, fuzzy sets defined on the domain of some of the most representative measures of the contrast property are employed. In order to obtain these fuzzy sets, a functional relationship between the computational values given by the measures and the human perception of contrast...
In this paper, we propose an improvement to the EPC Class1 Gen2 standard for RFID networks by adding randomness to the transmission process. To this end, we introduce a new parameter in the packets exchanged between the reader and the tags. We analyze the behavior of our proposal by regarding the identification delay, the number of used slots, and the average number of identification cycles. With...
Association rule mining is a helpful tool to discover relations between items in transactions. But in some scenarios, it is also interesting to consider not only the presence of items, but the absence of them. In this paper, we introduce a methodology to obtain fuzzy association rules involving absent items. Additionally, our proposal is based on restriction level sets, a recent representation of...
In this paper we introduce fuzzy naturals-based histograms on fuzzy color spaces. In our approach, histograms are fuzzy probability distributions on a fuzzy color space, where the fuzzy probability is calculated as the quotient between a fuzzy natural number and the number of pixels in the image, the former being a fuzzy (non-scalar) cardinality of a fuzzy set. This approach to histograms avoids the...
In image segmentation it is well known that a given image can be analyzed with different detail levels, this is why some hierarchical approaches have been proposed to give a different segmentation for each detail level. Most of these proposals are specially designed for precise and well defined regions. However regions usually have blurred contours, soft color shades, and brightness that give rise...
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