Showing papers by "Fernand Meyer published in 2001"

An overview of morphological segmentation

Abstract: Mathematical morphology offers a rich framework for segmenting images and video sequences. We propose a unified presentation of these tools, expressed as a small number of distance transforms on graphs. The classical approach based on watershed and markers is reinterpreted in a multiscale framework and new results are presented, considerably enlarging the palette of available tools.

Hierarchies of Partitions and Morphological Segmentation

Abstract: Segmenting an image amounts to producing a partition, in which each tile represents an object of the image. Given an image, how to segment it into a predetermined number of regions ? How to select the objects to represent or discard when the number of regions varies ? Producing a series of nested partitions, or hierarchy is an answer to this question but is also central to practically all morphological segmentation approaches. In the present paper, we define, study, construct and show how to use for various segmention or filtering tasks such hierarchies.

Content-dependent image sampling using mathematical morphology: Application to texture mapping☆

Abstract: Interactivity has become one of the main objectives of multimedia applications. Texture mapping techniques are essential to allow its development, but they all have one point in common: they are not content dependent. In this paper the development of content dependent texture mapping techniques is studied. A content dependent sampling process, based on a reference image which indicates the importance given to each pixel of the original image, is proposed. Two methods of building the reference image by means of morphological tools are described. This content dependent sampling method is used to build a mipmap, a classical structure used in texture mapping.