Optics and Precision Engineering, Volume. 31, Issue 12, 1841(2023)
Automatic threshold selection method using exponential Renyi entropy under multi-scale product in stationary wavelet domain
Fig. 1. Multi-scale product effect in the vertical direction ((a) show the original image and its gray level histogram, (b)-(f) show the corresponding MPT image
Fig. 3. MPT images
Fig. 4. Several key steps in the construction of objective function. The gray level histogram
Fig. 5. Selected thresholds and the segmentation results of the EREM method on synthetic images with unbalanced target and background sizes
Fig. 6. Selected thresholds and the segmentation results of the EREM method on synthetic images with relatively balanced target and background sizes
Fig. 7. Selected thresholds of the 5 threshold segmentation methods on 4 representative synthetic images
Fig. 8. Segmentation results of 9 methods on 4 synthetic images in Fig. 7(a)-(d)
Fig. 9. Selected thresholds of the 5 threshold segmentation methods on 4 real-world images
Fig. 10. Segmentation results of 9 methods on 4 real-world images in Fig. 9(a)-(d)
Fig. 11. MCC values of 9 segmentation methods on 50 real-world images
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Yaobin ZOU, Xiangdan MENG, Shuifa SUN, Peng CHEN. Automatic threshold selection method using exponential Renyi entropy under multi-scale product in stationary wavelet domain[J]. Optics and Precision Engineering, 2023, 31(12): 1841
Category: Information Sciences
Received: Jul. 18, 2022
Accepted: --
Published Online: Jul. 25, 2023
The Author Email: ZOU Yaobin (zyb@ctgu.edu.cn)