Call for papers

The IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) will be held on May 24 –27, 2021. This is the first joint event between the two main conference series of IAPR TC18, the International Conference on Discrete Geometry for Computer Imagery (DGCI), with 21 successful previous editions, and the International Symposium on Mathematical Morphology (ISMM), with 14 successful previous editions. We are delighted to host DGMM 2021 at the Centre for Image Analysis, Department of Information Technology, Uppsala University, Sweden.

DGMM offers the opportunity for researchers, students, and practitioners to share and discuss novel high quality research results within the fields of discrete geometry and mathematical morphology and their applications to image processing and image analysis. Both theoretical and application-focused contributions related to these topics are welcome.

Due to the ongoing pandemic, DGMM 2021 will be a held as a fully digital remote event.


All submitted papers will be subject to a full peer-reivew. Accepted papers will be included in the conference proceedings, published in the Lecture Notes in Computer Science series by Springer.


  • Title and abstract submission deadline:  November 6, 2020
  • Full paper submission deadline: November 16  November 27, 2020
  • Preliminary author notification: January 15 January 20, 2021
  • Rebuttal deadline: January 25 February 1, 2021
  • Author notification: February 15, 2021
  • Camera ready deadline: February 26 March 8, 2021


>>DGMM2021 Call for papers as pdf for download and print


Conference Secretariat
Academic Conferences - the conference administration secretariat
Tel: +46 18 67 15 33 or +46 18 67 10 03

Important dates

Full paper submission deadline: Nov 16 Nov 27
Preliminary author notification: Jan 15 Jan 20
Rebuttal deadline: Jan 25 Feb 1
Author notification: Feb 15
Camera ready deadline: Feb 26 March 8
Early bird registration deadline: April 27
Conference dates: May 24-27

Arranged by

Centre for Image Analysis
Uppsala University