Paper
29 October 1993 Image coding for storage and transmission based on morphological segmentation
Luis Torres, Philippe Salembier, Ferran Marques, Pierre Hierro
Author Affiliations +
Proceedings Volume 1977, Video Communications and PACS for Medical Applications; (1993) https://doi.org/10.1117/12.160476
Event: Video Communications and Fiber Optic Networks, 1993, Berlin, Germany
Abstract
The objective of the paper is to present a new object based image coding technique using morphological segmentation. These are the first results of a final objective of proposing a completely new coding/decoding scheme for storage and transmission applications based on Mathematical Morphology. The paper presents a new object based image coding algorithm that involves three main processing steps: segmentation, coding of contours and coding of the inside. The three fundamental coding steps of our approach work on a multiscale representation of the data. The coding of contours represents the shape and location of the region and is based on techniques relying on chain codes. The coding of inside consists in modeling the gray level function of the image and in filling each region with this model. Orthogonal polynomials are used for inside coding and bit allocation techniques are developed such that efficient compression rates are obtained. Several computer generated images are presented that show good visual results for a variety of different compression ratios. The techniques can also be applied to image sequences. Current research is under way to propose new coding techniques for both the contour and the inside coding using Mathematical Morphology.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luis Torres, Philippe Salembier, Ferran Marques, and Pierre Hierro "Image coding for storage and transmission based on morphological segmentation", Proc. SPIE 1977, Video Communications and PACS for Medical Applications, (29 October 1993); https://doi.org/10.1117/12.160476
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image segmentation

Image compression

Image processing algorithms and systems

Chromium

Image quality

Feature extraction

Mathematical morphology

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