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Two Algorithms of Image Segmentation and Measurement Method of Particle’s Parameters |
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PP: 105S-109S |
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Author(s) |
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Zhong Qu,
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Abstract |
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| Some characteristics were used in image segmentation algorithms, however, these
algorithms have some inevitable limitations, so appropriate methods were selected for a variety of
practical applications against specific demands of various applications. The improved Otsu algorithm
was studied in this article, and in the cluster-based image segmentation algorithm, fuzzy C-means
algorithm and global optimization search (GOS) algorithm were also introduced to image
segmentation. For the evaluation of the quality of image segmentation, a method of particle image
measuring is proposed. The results of the simulation by different images were analyzed, studied,
compared. The results through my proposed evaluation show that the improved Otsu algorithm can
effectively improve the quality of image segmentation, the GOS is more effective through the
simulation experiments and theoretical analysis of algorithm performance, and the method of particle
image measuring could evaluate the advantages and disadvantages of image segmentation algorithms
better. |
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