Color image analysis for liver tissue images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An automatic tissue characterization system is always in great demand by pathologists. However, the existing methods are either too simple to classify a complicated liver tissue image or dependent on heavy human intervention and very time consuming. In this paper, we have developed a highly parallel and effective system based on color image segmentation to analyze liver tissue images. To simplify the tissue classification problem, the system first utilizes the achromatic information (the intensity) to coarsely segment the tissue image, then makes use of the chromatic information to classify the segmented regions into four different tissue classes. Thus, the proposed method includes an unsupervised probabilistic relaxation segmentation process and a supervised Bayes classification process. Because the invariant grey level and color properties of the liver tissue image are fully utilized, the difficult classification problem can be well fulfilled at a reasonable computational cost. The proposed method also shows reliable liver tissue classification results from different test sample sets.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurray H. Loew
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages453-464
Number of pages12
ISBN (Print)0819411310
Publication statusPublished - 1993 Dec 1
EventMedical Imaging 1993: Image Processing - Newport Beach, CA, USA
Duration: 1992 Feb 141992 Feb 19

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1898
ISSN (Print)0277-786X

Other

OtherMedical Imaging 1993: Image Processing
CityNewport Beach, CA, USA
Period92-02-1492-02-19

Fingerprint

Color image processing
Color Image
image analysis
liver
Image Analysis
Liver
Tissue
color
Classification Problems
Classify
Color Image Segmentation
Bayes
Computational Cost
Simplify
Segmentation
Color
Invariant
Dependent
Image segmentation
costs

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Sun, Y-N., Wu, C-H., Lin, X-Z., & Chou, N. H. (1993). Color image analysis for liver tissue images. In M. H. Loew (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 453-464). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1898). Publ by Society of Photo-Optical Instrumentation Engineers.
Sun, Yung-Nien ; Wu, Chung-Hsien ; Lin, Xi-Zhang ; Chou, Nan Haw. / Color image analysis for liver tissue images. Proceedings of SPIE - The International Society for Optical Engineering. editor / Murray H. Loew. Publ by Society of Photo-Optical Instrumentation Engineers, 1993. pp. 453-464 (Proceedings of SPIE - The International Society for Optical Engineering).
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Sun, Y-N, Wu, C-H, Lin, X-Z & Chou, NH 1993, Color image analysis for liver tissue images. in MH Loew (ed.), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1898, Publ by Society of Photo-Optical Instrumentation Engineers, pp. 453-464, Medical Imaging 1993: Image Processing, Newport Beach, CA, USA, 92-02-14.

Color image analysis for liver tissue images. / Sun, Yung-Nien; Wu, Chung-Hsien; Lin, Xi-Zhang; Chou, Nan Haw.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Murray H. Loew. Publ by Society of Photo-Optical Instrumentation Engineers, 1993. p. 453-464 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1898).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Sun Y-N, Wu C-H, Lin X-Z, Chou NH. Color image analysis for liver tissue images. In Loew MH, editor, Proceedings of SPIE - The International Society for Optical Engineering. Publ by Society of Photo-Optical Instrumentation Engineers. 1993. p. 453-464. (Proceedings of SPIE - The International Society for Optical Engineering).