Fuzzy Spatial Relations-Based Markers Location on Images From an Infrared Camera

The following paper presents a fuzzy assessed spatial relations-based approach to detect a set of visual markers on a rotating steel cylinder previously discussed by the authors. Presented algorithm uses fuzzy inference system based on fuzzy assessed objects’ shape, orientation and mutual relative position in an input image.

Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation

Fuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by fuzzy topological relations between crisp objects and these types of fuzzy topological relations are much less developed. In this paper, we propose a method for combining fuzzy topological and directional relations. We also propose an algorithm for defuzzification of relations which provides us a binary topological and directional relation between a 2D object pair. These relations are represented in a neighborhood graph. For validation and assessment, a number of experiments have been performed on artificial data.