Discrete Contour Extraction from Reference Curvature Function
نویسندگان
چکیده
A robust discrete curvature estimator was recently proposed by Kerautret et al. [1]. In this paper, we exploit the precision and stability of this estimator in order to define a contour extraction method for analysing geometric features. We propose to use a reference curvature function for extracting the frontier of a shape in a gray level image. The frontier extraction is done by using both geometric information represented by the reference curvature and gradient information contained in the source image. The application of this work is done in a medical application.
منابع مشابه
Curvature Morphology
The notion of curvature of planar curves has emerged as one of the most powerful for the representation and interpretation of objects in an image. Although curvature extraction from a digitized object contour would seem to be a rather simple task, few methods exist that are at the same time easy to implement, fast, and reliable in the presence of noise. In this paper we first briefly present a ...
متن کاملDiscrete, nonlinear curvature-dependent contour evolution
There has been much recent interest in curvature-dependent contour evolution, particularly when the resultant family of contours satisfies the heat (diffusion) equation. Modeling the evolution of a shape's boundary as a real-valued solution to the reaction-diffusion equation has been shown to be useful for shape decomposition [3]. This approach to contour evolution involves solving a partial di...
متن کاملWavelet Descriptors for Object Recognition Using Mexican Hat Function
In this paper, we propose an object recognition method for 2D objects using wavelet descriptors. The descriptors are derived from the continuous wavelet transform using the Mexican hat function as mother wavelet. In contrast to the other known methods we apply an angle function to describe object contours extracted as polygons. The contour extraction is based on the object oriented contour extr...
متن کاملActive Contour Models for Shape Description Using Multiscale Diierential Invariants
Classic curvature-minimizing active contour models are often incapable of extracting complex shapes with points of high curvature. This paper presents a new active contour model which overcomes this problem and which can be applied to image segmentation as well as shape description in order to allow for quantitative and qualitative studies of shape measurements at multiple scales. Multiscale di...
متن کاملExtraction of the zero-crossings of the curvature derivatives in volumic 3D medical images: a multi-scale approach
Volumic 3D images are now widely distributed in the medical field [HL79, TPRSS0, GHJ75, Aya93]. They are produced from various modalities such as Magnetic Resonance Imagery (MRI), Computed Tomography Imagery (CT), Nuclear Medicine Imagery (NMI) or Ultrasound Imagery (USI). data are represented by a discrete 3D grey level function I(i,j, k) where the high-contrast points (3D edge points) corresp...
متن کامل