DocumentCode :
1837027
Title :
Texture analysis of tissue samples using DTOCS and approximated path DTOCS
Author :
Pääkkönen, Jouni ; Päivinen, Niina ; Toivanen, Pekka
Author_Institution :
Dept. of Comput. Sci., Univ. of Kuopio, Kuopio, Finland
fYear :
2009
fDate :
27-29 Aug. 2009
Firstpage :
177
Lastpage :
180
Abstract :
The aim of this paper is to apply distance transform on curved space (DTOCS) to grayscale images of human tissue samples. Also a new approximated path DTOCS (APDTOCS), which approximates distances on curved space using only the end points of the paths, is proposed. APDTOCS reveals more detail than standard DTOCS especially in parts of the image where the texture is complex and has a lot of small details. APDTOCS is faster and simpler to implement than DTOCS. Texture analysis of tissue sample, which reveals regions of interest, is needed because histopathologic recognition is currently really slow when the whole tissue sample is examined.
Keywords :
biological tissues; image texture; medical image processing; object recognition; transforms; approximated path DTOCS; distance transform on curved space; histopathologic recognition; human tissue samples; texture analysis; Computer science; Gray-scale; Humans; Image analysis; Image texture analysis; Infrared spectra; Microscopy; Rough surfaces; Spectroscopy; Surface roughness; DTOCS; histopahtologic; recognition; texture analysis; tissue sample;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing, 2009. ICCP 2009. IEEE 5th International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-5007-7
Type :
conf
DOI :
10.1109/ICCP.2009.5284765
Filename :
5284765
Link To Document :
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