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Journal ArticleDOI

Morphological multiscale segmentation for image coding

Philippe Salembier
- 01 Aug 1994 - 
- Vol. 38, Iss: 3, pp 359-386
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TLDR
A hierarchical segmentation algorithm for image coding based on mathematical morphology, which takes into account the most global information of the image and produces a coarse (with a reduced number of regions) segmentation.
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This article is published in Signal Processing.The article was published on 1994-08-01. It has received 193 citations till now. The article focuses on the topics: Scale-space segmentation & Segmentation-based object categorization.

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Citations
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Journal ArticleDOI

Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval

TL;DR: The paper shows that the amount of bits necessary to encode a binary partition tree remains moderate and can be used for a large number of processing goals such as filtering, segmentation, information retrieval and visual browsing.
Journal ArticleDOI

Flat zones filtering, connected operators, and filters by reconstruction

TL;DR: It is shown that from any connected operator acting on sets, one can construct a connected operator for functions (however, it is not the unique way of generating connected operators for functions).
Journal ArticleDOI

Automatic seeded region growing for color image segmentation

TL;DR: An automatic seeded region growing algorithm for color image segmentation that can produce good results as favorably compared to some existing algorithms.
Journal ArticleDOI

Automatic watershed segmentation of randomly textured color images

TL;DR: The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.
BookDOI

Mathematical morphology and its applications to image and signal processing

TL;DR: A Morphological View on Traditional Signal Processing and Morphological Scale-Space Operators: An Algebraic Framework and New Insight on Digital Topology G.T. Popov.
References
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Journal ArticleDOI

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

TL;DR: The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.
Book

Image Analysis and Mathematical Morphology

Jean Serra
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI

The Laplacian Pyramid as a Compact Image Code

TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Journal ArticleDOI

Watersheds in digital spaces: an efficient algorithm based on immersion simulations

TL;DR: A fast and flexible algorithm for computing watersheds in digital gray-scale images is introduced, based on an immersion process analogy, which is reported to be faster than any other watershed algorithm.
Journal ArticleDOI

Subband coding of images

TL;DR: A simple yet efficient extension of this concept to the source coding of images by specifying the constraints for a set of two-dimensional quadrature mirror filters for a particular frequency-domain partition and showing that these constraints are satisfied by a separable combination of one-dimensional QMF's.
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