Literature DB >> 17282897

Fast computation of multiscale morphological operations for local contrast enhancement.

Ye Derong1, Zhao Yuanyuan, Li Dongguo.   

Abstract

Poor local contrast is a nettlesome problem in biomedical image analysis. The multiscale method based on mathematical morphology has been successfully used in local contrast enhancement. However, the computational time is high. In this paper, the existing method is much improved by using few feature levels in an efficient way. The new algorithm is tested by experiments. Compared with the previous method, the results show that the proposed method is more effective, faster and less sensitive to noise. It is a fast and simple method for eliminating the non-uniformity of the intensities in images.

Year:  2005        PMID: 17282897     DOI: 10.1109/IEMBS.2005.1617128

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Vision-based traffic data collection sensor for automotive applications.

Authors:  David F Llorca; Sergio Sánchez; Manuel Ocaña; Miguel A Sotelo
Journal:  Sensors (Basel)       Date:  2010-01-22       Impact factor: 3.576

2.  LSD1 and HY5 antagonistically regulate red light induced-programmed cell death in Arabidopsis.

Authors:  Tingting Chai; Jun Zhou; Jian Liu; Da Xing
Journal:  Front Plant Sci       Date:  2015-05-05       Impact factor: 5.753

  2 in total

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