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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2520-2525,2530

Medical image fusion based on rolling guide filter and adaptive PCNN in NSCT domain

Di Jing1
Guo Wenqing1
Liu Jizhao2
Lian Jing1
Ren Li1
1. School of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0643

Abstract

Aiming at the problems of blurring edge contours and loss of texture details after fusion of conventional CT and MRI medical images, this paper proposed an image fusion method based on non-subsampled contourlet transform domain combined with phase consistent rolling guidance filtering(PCRGF) and improved parameter-adaptive dual channel pulse coupled neural network(PCNN). Firstly, it used PCRGF to enhance the CT source images to improve the definition of bone contour structure. Then, it applied NSCT to decompose enhanced CT and MRI source images to obtain the high and low frequency sub-bands. Fusion of low frequency sub-band used an improved parameter-adaptive dual channel pulse coupled neural network, which significantly improved the blurring of texture details in soft tissue. It used a weighted summation modified Laplace(WSML) algorithm to fuse the high frequency sub-bands, which enhanced the fused image with more details, textures and other information in the source images. Finally, it used the inverse NSCT transformation to reconstruct the fused image. The results of five groups of comparison experiments show that the objective evaluation indexes of AG, CC, SF, MSE and CEN are improved by 13.30%, 6.71%, 4.40%, 40.23% and 19.16%, indicate that this method performs better in enhancing the texture details, edge contours, structural similarity and image pixels of the source image.

Foundation Support

甘肃省科技计划资助项目(22JR5RA360)
国家自然科学基金资助项目(62061023,61941109)
甘肃省杰出青年基金资助项目(21JR7RA345)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0643
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2520-2525,2530
Serial Number: 1001-3695(2023)08-044-2520-06

Publish History

[2023-02-03] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

邸敬, 郭文庆, 刘冀钊, 等. 基于NSCT域滚动引导滤波与自适应PCNN的医学图像融合 [J]. 计算机应用研究, 2023, 40 (8): 2520-2525,2530. (Di Jing, Guo Wenqing, Liu Jizhao, et al. Medical image fusion based on rolling guide filter and adaptive PCNN in NSCT domain [J]. Application Research of Computers, 2023, 40 (8): 2520-2525,2530. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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