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Chapitre D'ouvrage Année : 2012

Shape-based invariant features extraction for object recognition

Résumé

The emergence of new technologies enables generating large quantity of digital information including images; this leads to an increasing number of generated digital images. Therefore it appears a necessity for automatic systems for image retrieval. These systems consist of techniques used for query specification and re-trieval of images from an image collection. The most frequent and the most com-mon means for image retrieval is the indexing using textual keywords. But for some special application domains and face to the huge quantity of images, key-words are no more sufficient or unpractical. Moreover, images are rich in content; so in order to overcome these mentioned difficulties, some approaches are pro-posed based on visual features derived directly from the content of the image: these are the content-based image retrieval (CBIR) approaches. They allow users to search the desired image by specifying image queries: a query can be an exam-ple, a sketch or visual features (e.g., colour, texture and shape). Once the features have been defined and extracted, the retrieval becomes a task of measuring simi-larity between image features. An important property of these features is to be in-variant under various deformations that the observed image could undergo. In this chapter, we will present a number of existing methods for CBIR applica-tions. We will also describe some measures that are usually used for similarity measurement. At the end, and as an application example, we present a specific ap-proach, that we are developing, to illustrate the topic by providing experimental results.
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Dates et versions

hal-00652422 , version 1 (15-12-2011)

Identifiants

  • HAL Id : hal-00652422 , version 1

Citer

Mingqiang Yang, Kidiyo Kpalma, Joseph Ronsin. Shape-based invariant features extraction for object recognition. Roumen Kountchev and Kazumi Nakamatsu. Advances in reasoning-based image processing, analysis and intelligent systems: Conventional and intelligent paradigms, Roumen Kountchev, Kazumi Nakamatsu (eds.), Springer, 60 p., 2012. ⟨hal-00652422⟩
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