Automatic detection of red blood cells in hematological images using polar transformation and run-length matrix

S. H. Rezatofighi, A. Roodaki, R. A. Zoroofi, R. Sharifian, H. Soltanian-Zadeh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

Many of diseases related to red blood cells can be diagnosed by analyzing the hematological images. The first step is to locate precisely the position of red blood cells. In this paper, a novel method based on polar transformation and run-length matrix is proposed for detecting red blood cells in hematological images. The multilayer perceptron was employed for classifying the feature vectors. This technique detected 3022 of the 3092 red blood cells existed in the images studied. The results illustrate capability of the proposed method for detecting red blood cells in hematological images.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages806-809
Number of pages4
ISBN (Print)9781424421794
DOIs
Publication statusPublished - 8 Dec 2008
Externally publishedYes
EventInternational Conference on Signal Processing 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008
Conference number: 9th

Conference

ConferenceInternational Conference on Signal Processing 2008
Abbreviated titleICSP 2008
CountryChina
CityBeijing
Period26/10/0829/10/08

Cite this

Rezatofighi, S. H., Roodaki, A., Zoroofi, R. A., Sharifian, R., & Soltanian-Zadeh, H. (2008). Automatic detection of red blood cells in hematological images using polar transformation and run-length matrix. In 2008 9th International Conference on Signal Processing, ICSP 2008 (pp. 806-809). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICOSP.2008.4697251