DocumentCode :
2606776
Title :
Biological image segmentation based on object pigmentation
Author :
Zheng, Jue ; Valavanis, Kimon ; Gauch, John
Author_Institution :
Northeastern Univ., Boston, MA, USA
fYear :
1991
fDate :
4-5 Apr 1991
Firstpage :
204
Lastpage :
205
Abstract :
A methodology for segmenting biological images based on object pigmentation is proposed. The object of interest is extracted based on MacAdam´s just noticeable difference (see J. Opti. Soc. Am., vol.32, p.247-74, 1942). The method combines pictorial and spectral information, into a single valued total color difference. It has two important properties: accuracy based on human color observation and easy implementation. Experiments show that the proposed method is relatively insensitive to nonuniform illumination. The authors briefly review the MacAdam´s ellipses in colorimetry and derive a total color difference based on the MacAdam´s ellipses
Keywords :
biological techniques and instruments; colour; picture processing; MacAdam´s ellipses; MacAdam´s just noticeable difference; biological image segmentation; colorimetry; human color observation; nonuniform illumination; object pigmentation; pictorial information; spectral information; total color difference; Biology computing; Biomedical imaging; Biomedical measurements; Color; Computer science; Computerized monitoring; Equations; Image segmentation; Pigmentation; Sea measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast
Conference_Location :
Hartford, CT
Print_ISBN :
0-7803-0030-0
Type :
conf
DOI :
10.1109/NEBC.1991.154646
Filename :
154646
Link To Document :
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