Revisiting Skeletons from Natural Images

Date

2015-01-01

Author

Erdem, Mehmet Erkut
Tarı, Zehra Sibel

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In the last two decades there have been several works promoting shape fields that implicitly encode local convexity/concavity properties of the shape boundary. These shape fields are formulated either as solutions to Poisson type PDEs or via heuristic approximations to them. The v-field of Tari-Shah-Pien, can be computed directly from a real image; thus, suggests a mechanism to bridge low level visual processing and high level shape computations. We revisit Tari, Shah and Pien’s v-field approach and extend its application to complex images with texture. We relate v-field value at a skeleton point to the distance of the point from a putative shape boundary, and use this relation to extract semantic image patches. At the end of the chapter, we experimentally compare the medial locus computed from the new v-field to that of Kimia et al.

Subject Keywords

Shape Interior, Visual Processing, High Level, Edge Diffusivity, Skeleton Point, Shape Boundary

URI

http://www.springer.com/in/book/9783319163475
https://hdl.handle.net/11511/85467
https://link.springer.com/book/10.1007/978-3-319-16348-2

Relation

Research in Shape Modeling

Collections

Department of Computer Engineering, Book / Book chapter

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Citation Formats

M. E. Erdem and Z. S. Tarı, Revisiting Skeletons from Natural Images. 2015, p. 112.