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In this paper, a hybrid algorithm, which is based on split and merge approach, is proposed for an image segmentation that can be used in fruit defect detection.
In this paper, based on split and merge approach, we proposed a new hybrid algorithm that uses k-means clustering and Graph-based technique for splitting and merging image regions to segment fruit images.
Second, we compared niche models based on split and lumped taxonomic groupings following Raxworthy et al.'s rational [ 19].
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A channel geometry based on Split-And-Recombine (SAR) patterns is experimentally investigated.
To circumvent this weak point, a Ca2+ indicator was developed based on split RLuc and Gluc [8], [9].
To visualize variations in signal distinctness, we use network analyses based on split decomposition and split support spectra.
Each run was considered to have reached a stationary distribution based on split frequencies reported in MrBayes and by plotting the log likelihood values of the cold chain.
Runs were determined to have reached a stationary distribution based on split frequencies reported in MrBayes and by plotting the log likelihood values of the cold chain.
Secondly, stroke segmentation rules are defined based on splitting, merging and structural model, location definition and minimum feature extraction.
Furthermore, a fast numerical algorithm is designed for ETV based on Split Bregman algorithm.
> -wrap-foot> Socrates is a new break point-detection method based on split reads.
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