A Gray Level-Gradient-Based Two-Dimensional (2D) Otsu Thresholding Method for Image Segmentation

Authors

  • Yanli Tan Department of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan 030008, China
  • Yongqiang Zhao Science and Technology Division, Taiyuan Institute of Technology, Taiyuan 030008, China

Abstract


The traditional gray level two-dimensional (2D) histogram region-dependent method often produces over-segmentation and cannot meet the increasing
demands of image segmentation. We propose a gray level gradient 2D histogram segmentation method. Furthermore, we put forward an improved
2D histogram Otsu thresholding method and a fast, recursive algorithm. The results show that the improved Otsu’s method creates better segmentation
results, extracts the object with a clearer boundary, obtains better homogeneity in the region, and has great resistance to noises. Compared to the
traditional 2D Otsu method, the improved Otsu method has more advantages, including faster running speed and better segmentation results.

Keywords: Otsu’s method, two-dimensional histogram, thresholding method, gray level-gradient.

Cite As

Y. Tan, Y. Zhao, “A Gray Level-Gradient-Based Two-Dimensional (2D) Otsu Thresholding Method for Image Segmentationâ€, Engineering Intelligent
Systems, vol. 28 no. 2, pp. 109-113, 2020.









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Published

2020-06-01

Issue

Vol. 28 No. 2 (2020): International Journal of Engineering Intelligent Systems

Section

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