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Azriel Rosenfeld
Researcher at University of Maryland, College Park
Publications - 613
Citations - 50771
Azriel Rosenfeld is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Image processing & Feature detection (computer vision). The author has an hindex of 94, co-authored 595 publications receiving 49426 citations. Previous affiliations of Azriel Rosenfeld include Meiji University.
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Image analysis and computer vision : 1997
TL;DR: A bibliography of nearly 1700 references related to computer vision and image analysis, arranged by subject matter is presented, including computational techniques; feature detection and segmentation; image and scene analysis; two-dimensional shape; pattern; color and texture; matching and stereo.
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Cluster detection in background noise
TL;DR: A preprocessing technique that gives each data point a weight related to the density of data points in its vicinity, so that points belonging to clusters get relatively high weights, while background noise points get relatively low weights.
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Three-dimensional boundary following
TL;DR: Results suggest that the use of 3-dimensional gradient operators greatly reduces search effort, and somewhat improves the accuracy of boundaries for noisy images.
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A converse to the Jordan curve theorem for digital curves
TL;DR: It is shown that a subset S of a digital picture is a simple closed curve if and only if its complement S ¯ has exactly two components, and every point of S is adjacent to both of these components.
ReportDOI
Texture Primitive Extraction Using an Edge-Based Approach
TL;DR: In this paper, an edge-based procedure for extracting primitives from textures was proposed, which groups edges into region boundaries by joining facing pairs of edge points, and a pilot evaluation was performed by examining the usefulness of these primitives for texture classification.