Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Salah Hamdi , Asma Ben Abdallah , Mohamed Hedi Bedoui

ABSTRACT

The goal of parsing is to determine whether or not one word belongs to one specified language generated by a grammar. Therefore, the present paper is aimed at exploiting grammar formalism in image processing, especially segmentation. For the English language, the words are those that I am trying to write whereas for an image, the words are the edges and homogeneous regions. We managed to define an image as a set of letters based on image vocabulary, grammar formalism and Hilbert transform for region description. One region is considered as a word recognized by an automaton. We will demonstrate how grammar parsing is practical for synthetic and real images. Indeed, this task is of great help in real time images and video processing with the possibility of taking care of runtime and accuracy challenges. More... »

PAGES

346-353

References to SciGraph publications

  • 1997. Learning the syntax and semantic rules of an ECG grammar in AI*IA 97: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 1891-09. Ueber die stetige Abbildung einer Line auf ein Flächenstück in MATHEMATISCHE ANNALEN
  • 2010. Parallel Computing Scheme for Graph Grammar-Based Syntactic Pattern Recognition in PARALLEL PROCESSING AND APPLIED MATHEMATICS
  • 2009. The Planar k-Means Problem is NP-Hard in WALCOM: ALGORITHMS AND COMPUTATION
  • 2000. Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach in COMPUTER VISION — ECCV 2000
  • 1997-11. Automatic segmentation of intravascular ultrasound images: A texture-based approach in ANNALS OF BIOMEDICAL ENGINEERING
  • Book

    TITLE

    Image Analysis and Recognition

    ISBN

    978-3-642-39093-7
    978-3-642-39094-4

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-39094-4_39

    DOI

    http://dx.doi.org/10.1007/978-3-642-39094-4_39

    DIMENSIONS

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