Generation of parallel-fine-curve-line images by iterative calculation using correlation coefficient

Toru Hiraoka, Tetsuya Katayama, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    We propose a visual effect method for generating parallel-fine-curve-line (PFCL) images from photographic images. PFCL images have smooth fine curve lines aligned along edges of photographic images. Our method is executed by an iterative calculation using correlation coefficient. To verify the visual effects of PFCL images, we conduct experiments with varying the value of parameters of our method and experiments using various photographic images. As a result of experiments, we clarified the optimal parameter values of our method and confirmed that the PFCL patterns can be automatically generated on the whole image with all photographic images.

    Original languageEnglish
    Pages (from-to)1131-1136
    Number of pages6
    JournalICIC Express Letters
    Volume12
    Issue number11
    DOIs
    Publication statusPublished - Nov 2018

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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