title: Contrast definition and contour detection for logarithmic images.
abstract: Logarithmic images, such as images obtained by transmitted light or those produced by the human visual system, differ from linear images. Their processing and analysis require consequently specific laws and structures. The latter have been developed in the concept of a logarithmic image processing (LIP) model (Jourlin & Pinoli, 1987, 1988; Pinoli, 1987a). This model permits the introduction of a well-justified contrast definition: from a physical point of view, it is closely linked with logarithmic images and from a mathematical point of view, it is set up in an algebraic structure. The applications presented at the end of this paper concern image preprocessing and segmentation. In particular, in the case of microscopic images, the proposed method of segmentation gives good results with transmitted light (thin foils in biology or transmitted electronic microscopy). However, images obtained by reflected light microscopy are not within the scope of this model.
authors.affiliation: Laboratoire Traitement du Signal et Instrumentation, UA-CNRS 842, Faculté des Sciences et Techniques de Saint-Etienne, France.
authors.forename: M
authors.initials: M
authors.lastname: Jourlin
authors.forename: J C
authors.initials: JC
authors.lastname: Pinoli
authors.forename: R
authors.initials: R
authors.lastname: Zeboudj
mesh_terms: D002277:Carcinoma / Q000473:pathology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D008954:Models, Biological; D014626:Vaginal Smears; D014785:Vision, Ocular / Q000502:physiology*