Research on Extraction of Mathematical Morphology Based on Improved PPI Algorithm

Most of existing end-element extraction algorithms only use spectral information of image and treat data as spatially disordered spectral vectors, which make insufficient usage of spatial information of image. Therefore, PPI-AMEE algorithm proposed in this article combines design ideas of AMEE algor...

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Bibliographic Details
Published in2020 International Conference on Computer Engineering and Application (ICCEA) pp. 339 - 343
Main Authors Xinxin, Liu, Li, Su, Linlin, Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2020
Subjects
Data mining
end element extraction algorithm
Hafnium
improved PPI algorithm
spatial disorder processing
spectral information
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Summary:Most of existing end-element extraction algorithms only use spectral information of image and treat data as spatially disordered spectral vectors, which make insufficient usage of spatial information of image. Therefore, PPI-AMEE algorithm proposed in this article combines design ideas of AMEE algorithm and PPI algorithm that is used to define expansion and corrosion operations in mathematical morphology. Moreover, purest pixel is found by accumulating PPI index of each pixel within structural element. Experimental results show that end element extraction accuracy of PPI-AMEE algorithm proposed in this paper is better than that of AMEE algorithm and PPI algorithm.
DOI:10.1109/ICCEA50009.2020.00080