Mostrando 241 - 260 Resultados de 446 Para Buscar '"Ōtsu"', tiempo de consulta: 0.52s Limitar resultados
  1. 241
  2. 242
    “…It is the combination of Electromagnetism-Like optimization algorithm with the Otsu and Kapur objective functions. The results obtained by using the proposed method are compared with the ground-truth images and have given best values for the measures sensitivity, specificity, and segmentation accuracy. …”
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  3. 243
    por Liu, Geng, Chen, Huiqun, Fang, Fang, Song, Lei
    Publicado 2021
    “…A fireworks algorithm optimization (FAO) was proposed based on the fireworks algorithm (FA), and it was compared with the maximum between-class variance method (OTSU) and the maximum entropy threshold method (KSW) for analysis. …”
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  4. 244
    “…Optimized by the Particle Swarm Optimization (PSO) algorithm, Otsu algorithm (OTSU) multi-threshold segmentation is utilized to segment the retinal image extracted by the multi-scale matched filtering method. …”
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  5. 245
  6. 246
    por Du, Xian, Dua, Sumeet
    Publicado 2010
    “…Experimental results demonstrate that k-means, Otsu’s threshold, and GMAC perform similarly, and have more precise segmentation results than EM. …”
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  7. 247
    “…To segment the voids, the Otsu method was used over asphalt mortar and solution range of CT values. …”
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    Online Artículo Texto
  8. 248
    “…True positive rate (TPR) was 2.3%, and false negative rate (FNR) was 1.15%. 45 MRI images with hot spots were utilized as test set to detect the segmentation accuracy of CV, maximum between-cluster variance method (OTSU), and region growing algorithm. The results showed that the Dice index and Jaccard coefficient of the CV algorithm were 0.8591 and 0.8002, respectively, which were considerably superior to OTSU (0.6125 and 0.5541) and region growing algorithm (0.7293 and 0.6598). …”
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    Online Artículo Texto
  9. 249
    “…The segmentation by Segment MaR was compared against inter observer variability of manual delineation and the threshold methods of 2SD, FWHM and Otsu. RESULTS: MaR was 32.9 ± 10.9% of left ventricular mass (LVM) when assessed by the reference observer and 31.0 ± 8.8% of LVM assessed by Segment MaR. …”
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  10. 250
    “…A group of state-of-the-art different thresholding methods such as Otsu, Kapur, Harris hawk, and grey level are used. …”
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  11. 251
    “…The Otsu threshold method is a global thresholding technique used to automatically differentiate SPIOs from the background. …”
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  12. 252
    “…RESULTS: Our segmentation method gives an average cross-validated Dice coefficient of 0.82 which is a 13% improvement compared to the Otsu method. The Otsu method achieved a True Positive Fraction (TPF) of 0.925 at the expense of a False Positive Rate (FPR) of 2.45. …”
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  13. 253
    “…In both Kapur’s and Otsu’s methods, the pixels of an image are classified into different classes based on the threshold level selected on the histogram. …”
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  14. 254
    “…The experimental results demonstrate that the proposed method outperforms the original MRFO and the other compared algorithms under Otsu’s method for all the used metrics.…”
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  15. 255
    por Zhou, Lihua, Hu, Hao, Zhou, Lei, Zhou, Yi
    Publicado 2022
    “…Meanwhile, a lymph node recognition algorithm based on OTSU threshold segmentation was proposed for CT image processing. …”
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  16. 256
    por Kumar, Adesh
    Publicado 2022
    “…The measured accuracy of Otsu’s, watershed, level set, K-means, DWT, and CNN methods is 71.42%, 78.26%, 80.45%, 84.34%, 86.95%, and 91.39 respectively. …”
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  17. 257
  18. 258
    “…This study proposes a new hybrid fuzzy fast multi-Otsu K-Means (FFMKO) algorithm integrating the date palm image enhancement, robust thresholding, and optimal clustering for significant disease identification. …”
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  19. 259
    “…The RGRI-Otsu method was most accurate for estimating temperatures around 32.9°C, but the magnitude of residuals increased above and below this value. …”
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  20. 260
    por Joseph, Seena, Olugbara, Oludayo O.
    Publicado 2022
    “…The final stage of the segmentation process is accomplished by applying Otsu thresholding followed by morphological analysis to obliterate the undesirable artifacts that may be present at the saliency detection stage. …”
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