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Abstract: This paper gives details of a series of low level image processing routines which successfully break an image into a set of coloured regions. The first stage in the process is multi-scale edge detection. A fixed set of different sized kernels are used with the results being put into a single 'edgeness' image. A fixed lower threshold is applied to the edgeness image. A non-maximum suppression step is then applied. The histogram of edge strength in the non-max-suppressed image is used to set the... (Update)
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BibTeX entry: (Update)
@misc{ sinclair-image,
author = "D. Sinclair",
title = "Image Parsing for Image Retrieval From Large Image Data Bases: From Coloured
Image to Coloured Regions",
url = "citeseer.ist.psu.edu/2505.html" }
Citations (may not include all citations):1080 A computational approach to edge detection - Canny - 1986
339 Theory of edge detection (context) - Marr, Hildreth - 1980
26 Image features from phase congruency - Kovesi - 1995
23 Image and Vision Computing (context) - Noble - 1988
18 Local scale control for edge detection and blur estimaiton (context) - Edler, Zucker - 1996
15 On calibrating computer controlled cameras for for perceivin.. (context) - Sobel - 1974
11 Effective scale - a natural unit for measuring scale-space l.. - Lindeberg - 1993
8 Driving vision by topology - Rothwell, Mundy et al. - 1994
7 Fast Recognition using Algebraic Invariants (context) - Rothwell, Zisserman et al. - 1992
6 Edges: Saliency measures and automatic thresholding - Rosin - 1995
1 Feature based image understanding (context) - Smith - 1992
1 Lineal feature estraction by parallel stick growing (context) - Hunt, Nelson - 1994
1 A hierarchical approach to high resoluiton edge and corner d.. (context) - Casadei, Mitter - 1996
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