Next Article in Journal
Depth Estimation for Lytro Images by Adaptive Window Matching on EPI
Previous Article in Journal
3D Reconstructions Using Unstabilized Video Footage from an Unmanned Aerial Vehicle
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
J. Imaging 2017, 3(2), 16; doi:10.3390/jimaging3020016

Tangent-Based Binary Image Abstraction

1
Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan
2
Computer and Communication Engineering, Ming Chuan University, Taoyuan County 333, Taiwan
3
Computer Science and Communication Engineering, Providence University, Taichung City 43301, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 17 December 2016 / Revised: 12 April 2017 / Accepted: 14 April 2017 / Published: 26 April 2017
View Full-Text   |   Download PDF [6963 KB, uploaded 26 April 2017]   |  

Abstract

We present a tangent flow-based image abstraction framework that turns a color or grayscale image into a two-tone image, which contains only black and white color, but retains sufficient information such that the viewer can still recognize the main content of the original image by observing the output of a two-tone image. Usually, the relevant visual information is presented by the edge. Thus, the algorithm will enhance the edge content first by the tangent flow to preserve its detail. We use filters to smooth the input image to reduce the contrast in low contrast regions and enhance some important features. Then we turn the image into a two-tone image as output. We can reduce the size of the image significantly but retain sufficient information to capture the main point of the image through our method. At the end of our process, we provide a smoothing step to smooth the two-tone image. Through this step, we can get an artistic black-and-white image. View Full-Text
Keywords: tangent flow; image abstraction; image simplification; image stylization; two-tone image; binary image tangent flow; image abstraction; image simplification; image stylization; two-tone image; binary image
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wu, Y.-T.; Yeh, J.-S.; Wu, F.-C.; Chuang, Y.-Y. Tangent-Based Binary Image Abstraction. J. Imaging 2017, 3, 16.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Imaging EISSN 2313-433X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top