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In order to increase the follow-up rate, segmentation of the target population has been proposed as a promising strategy, because an intervention can then be tailored toward specific subgroups of the population rather than using one type of intervention for all groups.
Method and representation Similarity measure Quality rate Segmentation result based on the original spectral reflectance data 86.02 91.51 Segmentation result based on the proposed invariant representation 98.77 99.18.
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The error rate of segmentation algorithms is usually determined by comparing the results of the automatic segmentation and that of manual segmentation.
The accuracy rate of segmentation by the PCA approach was 80.08%, and the primitive frames of the two methods indicated that the segmentation is acceptable.
The correct rate of segmentation is 89.60% through the test of 30 similar images of Lingwu long jujubes.
Experimental results demonstrate that the proposed technique outperforms other existing techniques with respect to true cavity detection rate and segmentation accuracy.
The RSBERS first applies entropy rate superpixel segmentation method to split the image into compact, homogeneous and similar-sized regions, and gets the saliency map by applying saliency estimation methods in each superpixel regions.
The rate of segmentation failure, where the animals could not be properly identified, was typically 5% of all frames.
The accuracy of segmentation rate is up to 89.60%.
The reliability of the algorithm is tested by the wrong segmentation rate.
The corresponding segmentation rate Υ ICE has been plotted in the lower part of the figures.
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