Image Feature Extraction Using Symbolic Data of Cumulative Distribution Functions
Sri Winarni,
Sapto Indratno,
Restu Arisanti
et al.
Abstract:Symbolic data analysis is an emerging field in statistics with great potential to become a standard inferential technique. This research introduces a new approach to image feature extraction using the empirical cumulative distribution function (ECDF) and distribution function of distribution values (DFDV) as symbolic data. The main objective is to reduce the dimension of huge pixel data by organizing them into more coherent pixel-intensity distributions. We propose a partitioning method with different breakpoi… Show more
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