@inproceedings{3a1826cd81fa413a83d732dc5a22f5f1,

title = "Two-dimensional shape decomposition based on structures in a fuzzy relation matrix",

abstract = "Shape decomposition is mainly motivated by structural shape description methods. Given a complex shape it is possible to decompose it into simpler sub-parts, that are well described by scalar global features, and then use the sub-parts in order to compose a structural description of the shape. This paper presents a shape decomposition method that performs decomposition of a polygonal approximation of the shape, into nearly convex sub-parts which are possibly overlapping, by locating structures in a fuzzy relation matrix. The fuzzy relation that is used to construct the fuzzy relation matrix, is defined on the set of the polygon vertices by a membership function that has a maximal value when the line connecting two vertices is contained completely within the polygon, and decreases as the deviation of this line from the polygon increases.",

author = "Gady Agam and Its'hak Dinstein",

year = "1995",

month = jan,

day = "1",

language = "English",

isbn = "0819416916",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "186--197",

editor = "Melter, {Robert A.} and Wu, {Angela Y.}",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Vision Geometry III ; Conference date: 02-11-1994 Through 03-11-1994",

}