CUDA implementation of histogram stretching function for improving X-ray image.Stud Health Technol Inform. 2013; 192:987.SH
Abstract
This paper presents a method to improve the contrast of digital X-ray image using CUDA program on a GPU. The histogram is commonly used to get the statistical distribution of the contrast in image processing. To increase the visibility of the image in real time, we use the histogram stretching function. It is difficult to implement the function on a GPU because the CUDA program is due to handle the complex process to transfer the source data and the processed results between the memory of GPU and the host system. As a result, we show to operate the histogram stretching function quickly on GPU by the CUDA program.
Links
MeSH
Pub Type(s)
Journal Article
Research Support, Non-U.S. Gov't
Language
eng
PubMed ID
23920761
Citation
Lee, Yong H., et al. "CUDA Implementation of Histogram Stretching Function for Improving X-ray Image." Studies in Health Technology and Informatics, vol. 192, 2013, p. 987.
Lee YH, Kim KW, Kim SS. CUDA implementation of histogram stretching function for improving X-ray image. Stud Health Technol Inform. 2013;192:987.
Lee, Y. H., Kim, K. W., & Kim, S. S. (2013). CUDA implementation of histogram stretching function for improving X-ray image. Studies in Health Technology and Informatics, 192, 987.
Lee YH, Kim KW, Kim SS. CUDA Implementation of Histogram Stretching Function for Improving X-ray Image. Stud Health Technol Inform. 2013;192:987. PubMed PMID: 23920761.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR
T1 - CUDA implementation of histogram stretching function for improving X-ray image.
AU - Lee,Yong H,
AU - Kim,Kwan W,
AU - Kim,Soon S,
PY - 2013/8/8/entrez
PY - 2013/8/8/pubmed
PY - 2015/4/11/medline
SP - 987
EP - 987
JF - Studies in health technology and informatics
JO - Stud Health Technol Inform
VL - 192
N2 - This paper presents a method to improve the contrast of digital X-ray image using CUDA program on a GPU. The histogram is commonly used to get the statistical distribution of the contrast in image processing. To increase the visibility of the image in real time, we use the histogram stretching function. It is difficult to implement the function on a GPU because the CUDA program is due to handle the complex process to transfer the source data and the processed results between the memory of GPU and the host system. As a result, we show to operate the histogram stretching function quickly on GPU by the CUDA program.
SN - 1879-8365
UR - https://www.unboundmedicine.com/medline/citation/23920761/CUDA_implementation_of_histogram_stretching_function_for_improving_X_ray_image_
L2 - http://ebooks.iospress.nl/Extern/EnterMedLine.aspx?ISSN=0926-9630&Volume=192&SPage=987
DB - PRIME
DP - Unbound Medicine
ER -