Lou, Jing Ren, Mingwu Wang, Huan Quantitative comparison for various combinations of parameters. <p>(<b>A</b>)–(<b>C</b>) Varying σ from 0.01 to 1 with <i>α</i> = 0.95 and <i>δ</i> = 1/4: (<b>A</b>) Precision-Recall curves. (<b>B</b>) F-measure curves. (<b>C</b>) <i>P<sub>s</sub></i> Bars. (<b>D</b>)–(<b>F</b>) Plots of precision, recall, and F-measure for various values of σ: (<b>D</b>) <i>α</i> = 0.9, <i>δ</i> = 1/16 vs. <i>α</i> = 0.95, <i>δ</i> = 1/16. (<b>E</b>) <i>α</i> = 0.9, <i>δ</i> = 1/4 vs. <i>α</i> = 0.95, <i>δ</i> = 1/4. (<b>F</b>) <i>α</i> = 0.95, <i>δ</i> = 1/16 vs. <i>α</i> = 0.95, <i>δ</i> = 1/4.</p> Image segmentation;saliency map;computation;Saliency Detection Saliency detection;resolution images;method;color contrast;interpolation approach;parameters selection;Regional Principal Color;saliency detection algorithms;color features;object recognition;quality saliency maps;Experimental results;saliency database show 2014-11-07
    https://plos.figshare.com/articles/figure/_Quantitative_comparison_for_various_combinations_of_parameters_/1232841
10.1371/journal.pone.0112475.g011