Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Computational Improvement of Otsu's Algorithm by Estimating Approximate Threshold

근사 임계값 추정을 통한 Otsu 알고리즘의 연산량 개선

  • Lee, Youngwoo (Graduate School of Electronic & Computer Eng., Seokyeong University) ;
  • Kim, Jin Heon (Graduate School of Electronic & Computer Eng., Seokyeong University)
  • Received : 2017.01.13
  • Accepted : 2017.01.19
  • Published : 2017.02.28
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Abstract

There are various algorithms evaluating a threshold for image segmentation. Among them, Otsu's algorithm sets a threshold based on the histogram. It finds the between-class variance for all over gray levels and then sets the largest one as Otsu's optimal threshold, so we can see that Otsu's algorithm requires a lot of the computation. In this paper, we improved the amount of computational needs by using estimated Otsu's threshold rather than computing for all the threshold candidates. The proposed algorithm is compared with the original one in computation amount and accuracy. we confirm that the proposed algorithm is about 29 times faster than conventional method on single processor and about 4 times faster than on parallel processing architecture machine.

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References

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