We present in this paper a new particle-based method for sampling and rendering several types of the nonphotorealistic feature contours on implicit surfaces: silhouette, shadow, specular shadow and suggestive contours. We introduce a curve adhesion behavior for dynamic particles that brings up the possibility to render any contour that is defined as an intersection of two implicit surfaces. In ...

Illusory contours are intrinsic phenomena in human vision. Many methods have been proposed to identify illusory contours. In this paper, we present a level set based variational model to capture a typical class of illusory contours such as Kanizsa triangle. The model consists of two parts: the first part drives the zero level set to the inside desired solid boundaries and keeps it sticking to t...

Generalized Hermite polynomials in two variables are employed f o r the reconstruction of images from a knowledge of their zero crossing contours. The problem of reconstruction of signals as functions of two variables is not a mere extension of that of a single variable. This is a consequence of the fact that the spatial and spectral characteristics of two-variable functions are quite distinct ...

We present in this paper a new particle-based method for sampling and rendering several types of the nonphotorealistic feature contours on implicit surfaces: silhouette, shadow and suggestive contours. We introduce a curve adhesion behavior for dynamic particles that brings up the possibility to render any contour that is defined as an intersection of two smooth implicit surfaces. In the case o...

This paper presents a volumetric approach to reconstructing a smooth surface from a sparse set of parallel binary contours, e.g. those produced via histologic imaging. It creates a volume dataset by interpolating 2D filtered distance fields. The zero isosurface embedded in the computed volume provides the desired result. MPU implicit functions are fit to the input contours, defined as binary im...

In this paper, a method for detecting possible presence of abnormality in the endoscopic images of lower esophagus is presented. The pre-processed endoscopic color images are segmented in the HSI color space. The zero-crossing method of edge detection is applied on the binary image corresponding to the segmented image. For the large contours, the Gaussian smoothing is performed for eliminating ...