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Mark Thurston 0001

dblp:178/3928 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1972
0000-0001-6689-4033ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video processing · 61% Multimedia analysis and retrieval · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
edge detection
0.021972
Edge and Curve Detection: Further Experiments · IEEE Trans. Computers 1972
Edge and Curve Detection for Visual Scene Analysis · IEEE Trans. Computers 1971
Multimedia analysis and retrieval
image analysis
0.021972
Edge and Curve Detection: Further Experiments · IEEE Trans. Computers 1972
Edge and Curve Detection for Visual Scene Analysis · IEEE Trans. Computers 1971
Image and video processing › texture analysis
texture edge detection
0.021972
Edge and Curve Detection: Further Experiments · IEEE Trans. Computers 1972
Edge and Curve Detection for Visual Scene Analysis · IEEE Trans. Computers 1971
Multimedia analysis and retrieval › image analysis
scene analysis
0.021972
Edge and Curve Detection: Further Experiments · IEEE Trans. Computers 1972
Edge and Curve Detection for Visual Scene Analysis · IEEE Trans. Computers 1971

Methods — techniques the papers use, named apart from their topics

parallel operations · 0.0
YearPublicationVenuePosition
1972 Edge and Curve Detection: Further Experiments
abstract
Further work is described on simple sets of parallel operations that detect "texture edges" (abrupt discontinuities in the average values of local picture properties), as well as spots or streaks that are texturally different from their surrounds.
Azriel Rosenfeld, Mark Thurston 0001, Yung-Han Lee
IEEE Trans. Computers2
1971 Edge and Curve Detection for Visual Scene Analysis
abstract
Simple sets of parallel operations are described which can be used to detect texture edges, "spots," and "streaks" in digitized pictures. It is shown that, by comparing the outputs of the operations corresponding to (e.g.,) edges of different sizes, one can construct a composite output in which edges between differently textured regions are detected, and isolated objects are also detected, but the objects composing the textures are ignored. Relationships between this class of picture processing operations and the Gestalt psychologists' laws of pictorial pattern organization are also discussed.
Azriel Rosenfeld, Mark Thurston 0001
IEEE Trans. Computers2