Title
Fuzzy Partitions For Texture Modelling Adapted To The Subjectivity Of Human Perception
Abstract
Visual textures in images are usually described by humans using linguistic terms related to their perceptual properties, like "very coarse", "low directional", or "high contrasted". However, the presence of these properties in images is very difficult to characterize due to their imprecision, and, moreover, because their perception may change depending on the user. In this paper, we propose an adaptive fuzzy approach for texture modelling, that allows to describe it in natural language, and takes into account the subjectivity of the human perception. For this purpose, a methodology in two phases has been proposed. First, non-adaptive fuzzy partitions, that represent the average human perception about the presence of the texture properties, are obtained. For this modelling, a perception-based fuzzy technique have been used. In a second phase, the obtained fuzzy sets are adapted in order to model the particular perception that a user may have. For this purpose, the membership functions are automatically transformed on the basic of the information given by the user to represent his perception.
Year
Venue
Field
2016
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
Neuro-fuzzy,Fuzzy classification,Defuzzification,Computer science,Fuzzy set operations,Fuzzy logic,Fuzzy set,Artificial intelligence,Adaptive neuro fuzzy inference system,Fuzzy associative matrix,Machine learning
DocType
ISSN
Citations 
Conference
1544-5615
1
PageRank 
References 
Authors
0.35
3
3