scispace - formally typeset
Open AccessProceedings Article

Color image segmentation

Fernand Meyer
- pp 303-306
Reads0
Chats0
TLDR
The author extends the traditional method of segmentation based on the watershed transform to the segmentation of color images and illustrates it, with paintings.
Abstract
Segmentation is a key problems in image processing. In the framework of mathematical morphology the traditional method of segmentation is based on the watershed transform. This method may be analysed as a region growing algorithm, starting from a set of markers for all zones of interest. The author extends it to the segmentation of color images and illustrates it, with paintings.< >

read more

Citations
More filters
Book

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

TL;DR: Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.
Journal ArticleDOI

Improved watershed transform for medical image segmentation using prior information

TL;DR: An improvement to the watershed transform is presented that enables the introduction of prior information in its calculation, and a method to combine the watershedtransform and atlas registration, through the use of markers is introduced.
Journal ArticleDOI

Superpixels: An evaluation of the state-of-the-art

TL;DR: An overall ranking of superpixel algorithms is presented which redefines the state-of-the-art and enables researchers to easily select appropriate algorithms and the corresponding implementations which themselves are made publicly available as part of the authors' benchmark at http://www.davidstutz.de/projects/superpixel-benchmark/ .
Journal ArticleDOI

Automatic watershed segmentation of randomly textured color images

TL;DR: The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.
Journal ArticleDOI

Semiautomatic segmentation and tracking of semantic video objects

TL;DR: A novel semantic video object extraction system using mathematical morphology and a perspective motion model to solve the semantic videoobject extraction problem in two separate steps: supervised I-frame segmentation, and unsupervised P-frame tracking.
Related Papers (5)