Image Feature Extraction Based on Nearest Feature Line and Time-Frequency Analysis

Lijun Yan, Jeng-Shyang Pan, Shu-Chuan Chu

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A novel image feature extraction algorithm based on nearest feature line in time-frequency domain is proposed in this paper. The proposed algorithm combines neighborhood discriminant nearest feature line analysis and fractional sine transform to extract the local discriminant features of the samples. A new discriminant power criterion based on nearest feature line is also presented in this paper. Some experiments are implemented to evaluate the proposed algorithm and the experimental results demonstrate the efficiency of the proposed algorithm.

    Original languageEnglish
    Pages (from-to)657-662
    Number of pages6
    JournalICIC Express Letters
    Volume7
    Issue number3A
    Publication statusPublished - 2013

    Keywords

    • Fractional sine transform
    • Image classification
    • Nearest feature line

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