Automatic segmentation of ultrasonic image

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"
PublisherPubl by IEEE
Pages910-913
ISBN (print)780312333
Publication statusPublished - 1993

Conference

TitleProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
CityBeijing, China
Period19 - 21 October 1993

Abstract

Automatic segmentation of ultrasonic images is a crucial step for their automatic morphological analysis. The ultrasonic images currently generated in the clinical environment provide significant contributions to the diagnosis of human tissues. Based on the ultrasonic appearance of tissue, the radiologists can carry out tissue identification by extracting and analyzing the visual information in the image. However, ultrasonic images are usually displayed in gray scale and exhibit many artifacts such as coarse resolution, low contrast and high noise. Interpretation of the ultrasonic image by human eye becomes more difficult and hence error-prone. Consequently, the difficulties are found to be solved by using statistical texture measure on the ultrasonic image.

Citation Format(s)

Automatic segmentation of ultrasonic image. / Wong, S. J.; Chan, K. L.; Fung, P. W.
Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". Publ by IEEE, 1993. p. 910-913.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review