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

Toru Hiraoka; Tetsuya Katayama; Kiichi Urahama

doi:10.24507/icicel.12.11.1131

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

Toru Hiraoka, Tetsuya Katayama, Kiichi Urahama

Visual Communication Design

Research output: Contribution to journal › Article

1 Citation (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 language	English
Pages (from-to)	1131-1136
Number of pages	6
Journal	ICIC Express Letters
Volume	12
Issue number	11
DOIs	https://doi.org/10.24507/icicel.12.11.1131
Publication status	Published - Nov 1 2018

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All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Cite this

Hiraoka, T., Katayama, T., & Urahama, K. (2018). Generation of parallel-fine-curve-line images by iterative calculation using correlation coefficient. ICIC Express Letters, 12(11), 1131-1136. https://doi.org/10.24507/icicel.12.11.1131

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10.24507/icicel.12.11.1131