Restoration and segmentation of images by using binding processes

Hiroyuki Matsunaga, Kiichi Urahama

Research output: Contribution to journalArticle

Abstract

The method of restoration and segmentation of images by using the binding process is proposed. The restored images can keep edges. The binding process uses the relative line process. The binding method can restore multiscale image by the change of a parameter or by the use of diffusion equations. The expansion to impulse noise elimination and application to the restoration and segmentation of sparse data are shown. The advantages of the method over the line processing method are: (1) an invariable result is obtained over a wide range of scale of gray level (2) the segmentation is obtained directly (3) easy elimination of impulse noise, and (4) applicability to the segmentation of sparse data such as dot patterns.

Original languageEnglish
Pages (from-to)79-85
Number of pages7
JournalSystems and Computers in Japan
Volume29
Issue number4
DOIs
Publication statusPublished - Jan 1 1998

Fingerprint

Impulse noise
Restoration
Segmentation
Impulse Noise
Sparse Data
Elimination
Line
Processing
Diffusion equation
Range of data

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

Cite this

Restoration and segmentation of images by using binding processes. / Matsunaga, Hiroyuki; Urahama, Kiichi.

In: Systems and Computers in Japan, Vol. 29, No. 4, 01.01.1998, p. 79-85.

Research output: Contribution to journalArticle

Matsunaga, Hiroyuki ; Urahama, Kiichi. / Restoration and segmentation of images by using binding processes. In: Systems and Computers in Japan. 1998 ; Vol. 29, No. 4. pp. 79-85.
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