An effective image enhancement method for electronic portal images

  • Authors:

  • Mao-Hsiung Hung;Shu-Chuan Chu;John F. Roddick;Jeng-Shyang Pan;Chin-Shiuh Shieh

  • Affiliations:

  • Dept. of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan and Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institut ...;School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, Adelaide, Australia;School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, Adelaide, Australia;Dept. of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan and Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institut ...;Dept. of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

  • Venue:
  • ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
  • Year:
  • 2010

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Abstract

Due to the inherent low-contrast in Electronic Portal Images (EPI), the perception quality of EPI has certain gap to the expectation of most physicians. It is essential to have effective post-processing methods to enhance the visual quality of EPI. However, only limited efforts had been paid to this issue in the past decade. To this problem, an integrated approach featuring automatic thresholding is developed and presented in this article. Firstly, Gray-Level Grouping (GLG) is applied to improve the global contrast of the whole image. Secondly, Adaptive Image Contrast Enhancement (AICE) is used to refine the local contrast within a neighborhood. Finally, a simple spatial filter is employed to reduce noises. The experimental results indicate that the proposed method greatly improves the visual perceptibility as compared with previous approaches.