Segmentation of medical ultrasonic image using fractal

Tianfu Wang; Deyu Li; Changqiong Zheng; Yi Zheng

Segmentation of medical ultrasonic image using fractal

Tianfu Wang^*
, Deyu Li
, Changqiong Zheng
, Yi Zheng

^*Corresponding author for this work

Sichuan University

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Image segmentation is one of the most difficult problems in multidimensional reconstruction of medical ultrasonic images. A new method for segmentation of medical ultrasonic image based on fractal dimension Lacunarity is presented in this paper. As fractal features have drawbacks of less number and great redundancy, we developed a method to extend the features combining with micromasks. Experimental results show that our method can enhance he description ability of fractal features and segment the images efficiently.

Original language	English
Pages (from-to)	496-499
Number of pages	4
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3545
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 International Symposium on Multispectral Image Processing, ISMIP'98 - Wuhan, China Duration: 21 Oct 1998 → 23 Oct 1998

Cite this

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title = "Segmentation of medical ultrasonic image using fractal",

abstract = "Image segmentation is one of the most difficult problems in multidimensional reconstruction of medical ultrasonic images. A new method for segmentation of medical ultrasonic image based on fractal dimension Lacunarity is presented in this paper. As fractal features have drawbacks of less number and great redundancy, we developed a method to extend the features combining with micromasks. Experimental results show that our method can enhance he description ability of fractal features and segment the images efficiently.",

author = "Tianfu Wang and Deyu Li and Changqiong Zheng and Yi Zheng",

year = "1998",

language = "英语",

volume = "3545",

pages = "496--499",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Proceedings of the 1998 International Symposium on Multispectral Image Processing, ISMIP'98 ; Conference date: 21-10-1998 Through 23-10-1998",

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TY - JOUR

T1 - Segmentation of medical ultrasonic image using fractal

AU - Wang, Tianfu

AU - Li, Deyu

AU - Zheng, Changqiong

AU - Zheng, Yi

PY - 1998

Y1 - 1998

N2 - Image segmentation is one of the most difficult problems in multidimensional reconstruction of medical ultrasonic images. A new method for segmentation of medical ultrasonic image based on fractal dimension Lacunarity is presented in this paper. As fractal features have drawbacks of less number and great redundancy, we developed a method to extend the features combining with micromasks. Experimental results show that our method can enhance he description ability of fractal features and segment the images efficiently.

AB - Image segmentation is one of the most difficult problems in multidimensional reconstruction of medical ultrasonic images. A new method for segmentation of medical ultrasonic image based on fractal dimension Lacunarity is presented in this paper. As fractal features have drawbacks of less number and great redundancy, we developed a method to extend the features combining with micromasks. Experimental results show that our method can enhance he description ability of fractal features and segment the images efficiently.

UR - https://www.scopus.com/pages/publications/0032301822

M3 - 会议文章

AN - SCOPUS:0032301822

SN - 0277-786X

VL - 3545

SP - 496

EP - 499

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Proceedings of the 1998 International Symposium on Multispectral Image Processing, ISMIP'98

Y2 - 21 October 1998 through 23 October 1998

ER -

Segmentation of medical ultrasonic image using fractal

Abstract

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