Open access peer-reviewed chapter

Algorithm Selection Based on a Region Similarity Metric for Intracellular Image Segmentation

By Satoko Takemoto and Hideo Yokota

Submitted: June 17th 2010Reviewed: October 4th 2010Published: April 19th 2011

DOI: 10.5772/15807

Downloaded: 2134

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Satoko Takemoto and Hideo Yokota (April 19th 2011). Algorithm Selection Based on a Region Similarity Metric for Intracellular Image Segmentation, Image Segmentation, Pei-Gee Ho, IntechOpen, DOI: 10.5772/15807. Available from:

chapter statistics

2134total chapter downloads

3Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Extraction of Estuarine/Coastal Environmental Bodies from Satellite Data through Image Segmentation Techniques

By Ana Teodoro and Hernâni Gonçalves

Related Book

First chapter

Template Matching Approaches Applied to Vertebra Detection

By Mohammed Benjelloun, Saïd Mahmoudi and Mohamed Amine Larhmam

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us