Directional processing of line-drawing images based on adaptive morphological operations

Gady Agam, Its'hak Dinstein

Research output: Contribution to journalConference articlepeer-review


Directional information has a strong meaning in line-drawing images. Therefore, the proposed approach for line-drawing images processing is based on a directional decomposition of the input image into a set of images each containing line segments in a respective range of directions. The directional information is then processed by using newly defined directional morphological operators, called tube-directional, that have accurate selectivity and controllable strictness. When using morphological operators, adaptation to a specific task is achieved only globally by setting the structure of the morphological kernel. The concept of one global adjustment for many local operations is somehow conflicting. In the proposed approach the parameters of the tube-directional morphological operators are determined locally for each element of the processed image.

Original languageEnglish
Pages (from-to)2184-2187
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 1 Jan 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: 7 May 199610 May 1996

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Directional processing of line-drawing images based on adaptive morphological operations'. Together they form a unique fingerprint.

Cite this