Efficient graph-based image segmentation¶
Felzenszwalb, P. F., & Huttenlocher, D. P. (2004). Efficient graph-based image segmentation. International Journal of Computer Vision, 59(2), 167-181.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Segmentation and Boundary Drawing
- The process of partitioning a continuous domain into discrete categories via boundary placement, where boundaries concentrate meaning and classification structure, as Felzenszwalb and Huttenlocher (2004) formalize for image segmentation by defining predicates over evidence for boundaries between regions.
This sourceCanonical formulation of image segmentation as boundary placement: defines a predicate over evidence for a boundary between regions and partitions a continuous image into discrete regions accordingly.
Supported in partVerified against the publisher's abstract
The paper's own abstract defines a predicate measuring evidence for a boundary between two regions and segments an image into regions, but it says nothing of boundaries concentrating meaning or classification structure.
“This paper addresses the problem of segmenting an image into regions. We define a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image.”
- The process of partitioning a continuous domain into discrete categories via boundary placement, where boundaries concentrate meaning and classification structure, as Felzenszwalb and Huttenlocher (2004) formalize for image segmentation by defining predicates over evidence for boundaries between regions.
Verification¶
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Registry ID ref:901830b49921 · see in the full table