Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior

Yuanhao Gong; Hui Yin; Jingxin Liu; Bozhi Liu; Guoping Qiu

doi:10.1109/ICIP.2019.8803492

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior

Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu

Shenzhen University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

5 Citations (Scopus)

Abstract

Soft tissue in X-ray images obscures the bone structure such that the details on bones are not clear. Conventional methods simultaneously enhance the image contrast for the soft tissue and the bones. Here we propose to remove all soft tissue in X-ray images, making the bone structure clear. For this purpose, we first propose a half window dark channel prior and a half window guided filter. Then, we apply this prior and filter on X-ray images. After processing, the bone details in X-ray images become clear and sharp. Several experiments confirm the effectiveness and efficiency of our method. Our method can be used for bone segmentation, classification, recognition, and clinical diagnosis.

Original language	English
Title of host publication	2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
Publisher	IEEE Computer Society
Pages	3576-3580
Number of pages	5
ISBN (Electronic)	9781538662496
DOIs	https://doi.org/10.1109/ICIP.2019.8803492
Publication status	Published - Sept 2019
Externally published	Yes
Event	26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China Duration: 22 Sept 2019 → 25 Sept 2019

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2019-September
ISSN (Print)	1522-4880

Conference

Conference	26th IEEE International Conference on Image Processing, ICIP 2019
Country/Territory	Taiwan, Province of China
City	Taipei
Period	22/09/19 → 25/09/19

Keywords

X-ray
bone
half window
soft tissue

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10.1109/ICIP.2019.8803492

Cite this

Gong, Y., Yin, H., Liu, J., Liu, B., & Qiu, G. (2019). Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. In 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 3576-3580). Article 8803492 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8803492

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title = "Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior",

abstract = "Soft tissue in X-ray images obscures the bone structure such that the details on bones are not clear. Conventional methods simultaneously enhance the image contrast for the soft tissue and the bones. Here we propose to remove all soft tissue in X-ray images, making the bone structure clear. For this purpose, we first propose a half window dark channel prior and a half window guided filter. Then, we apply this prior and filter on X-ray images. After processing, the bone details in X-ray images become clear and sharp. Several experiments confirm the effectiveness and efficiency of our method. Our method can be used for bone segmentation, classification, recognition, and clinical diagnosis.",

keywords = "X-ray, bone, half window, soft tissue",

author = "Yuanhao Gong and Hui Yin and Jingxin Liu and Bozhi Liu and Guoping Qiu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE International Conference on Image Processing, ICIP 2019 ; Conference date: 22-09-2019 Through 25-09-2019",

year = "2019",

month = sep,

doi = "10.1109/ICIP.2019.8803492",

language = "English",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "3576--3580",

booktitle = "2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings",

}

Gong, Y, Yin, H, Liu, J, Liu, B & Qiu, G 2019, Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. in 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings., 8803492, Proceedings - International Conference on Image Processing, ICIP, vol. 2019-September, IEEE Computer Society, pp. 3576-3580, 26th IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, Province of China, 22/09/19. https://doi.org/10.1109/ICIP.2019.8803492

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. / Gong, Yuanhao; Yin, Hui; Liu, Jingxin et al.
2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings. IEEE Computer Society, 2019. p. 3576-3580 8803492 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior

AU - Gong, Yuanhao

AU - Yin, Hui

AU - Liu, Jingxin

AU - Liu, Bozhi

AU - Qiu, Guoping

PY - 2019/9

Y1 - 2019/9

N2 - Soft tissue in X-ray images obscures the bone structure such that the details on bones are not clear. Conventional methods simultaneously enhance the image contrast for the soft tissue and the bones. Here we propose to remove all soft tissue in X-ray images, making the bone structure clear. For this purpose, we first propose a half window dark channel prior and a half window guided filter. Then, we apply this prior and filter on X-ray images. After processing, the bone details in X-ray images become clear and sharp. Several experiments confirm the effectiveness and efficiency of our method. Our method can be used for bone segmentation, classification, recognition, and clinical diagnosis.

AB - Soft tissue in X-ray images obscures the bone structure such that the details on bones are not clear. Conventional methods simultaneously enhance the image contrast for the soft tissue and the bones. Here we propose to remove all soft tissue in X-ray images, making the bone structure clear. For this purpose, we first propose a half window dark channel prior and a half window guided filter. Then, we apply this prior and filter on X-ray images. After processing, the bone details in X-ray images become clear and sharp. Several experiments confirm the effectiveness and efficiency of our method. Our method can be used for bone segmentation, classification, recognition, and clinical diagnosis.

KW - X-ray

KW - bone

KW - half window

KW - soft tissue

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U2 - 10.1109/ICIP.2019.8803492

DO - 10.1109/ICIP.2019.8803492

M3 - Conference Proceeding

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T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3576

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BT - 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings

PB - IEEE Computer Society

T2 - 26th IEEE International Conference on Image Processing, ICIP 2019

Y2 - 22 September 2019 through 25 September 2019

ER -

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior

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