A low complexity architecture for binary image erosion and dilation using structuring element decomposition

@article{Hedberg2005ALC,
  title={A low complexity architecture for binary image erosion and dilation using structuring element decomposition},
  author={H. Hedberg and F. Kristensen and P. Nilsson and V. {\"O}wall},
  journal={2005 IEEE International Symposium on Circuits and Systems},
  year={2005},
  pages={3431-3434 Vol. 4}
}
This paper describes a new hardware architecture for binary image erosion and dilation. The design is to be used in a self contained real-time surveillance system. Thus, low complexity and low power consumption are main constraints. To achieve this goal the aim has been to reduce memory requirements and the number of memory accesses per pixel. By storing only the number of consecutive ones that appears horizontally and vertically in the input image, only two internal memory accesses per… Expand
28 Citations
Low-Complexity Binary Morphology Architectures With Flat Rectangular Structuring Elements
  • 25
  • PDF
Fast algorithm for dilation and erosion using arbitrary flat structuring element: Improvement of urbach and Wilkinson's algorithm to GPU computing
  • 6
Low-Power High-Speed Hybrid Wave-Pipeline Architectures for Binary Morphological Dilation
  • 1
  • Highly Influenced
A system on chip dedicated to pipeline neighborhood processing for Mathematical Morphology
  • 27
  • PDF
A Hardware Architecture for Real-Time Video Segmentation Utilizing Memory Reduction Techniques
  • 55
  • PDF
Implementation of a Labeling Algorithm based on Contour Tracing with Feature Extraction
  • 22
...
1
2
3
...

References

SHOWING 1-10 OF 11 REFERENCES
Fast Implementation of Binary Morphological Operations on Hardware-Efficient Systolic Architectures
  • 29
A data-driven algorithm and systolic architecture for image morphology
  • S. Fejes, F. Vajda
  • Computer Science
  • Proceedings of 1st International Conference on Image Processing
  • 1994
  • 13
Decomposition of Arbitrarily Shaped Morphological Structuring Elements
  • 107
  • PDF
FPGA-based implementation of variable sized structuring elements for 2D binary morphological operations
  • J. Velten, A. Kummert
  • Computer Science
  • Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002
  • 2002
  • 18
Hardware accelerator design for video segmentation with multi-modal background modelling
  • 41
  • PDF
Digital Image Processing
  • R. González, R. Woods
  • Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1981
  • 7,886
  • PDF
Decomposition of Arbitrarily Shaped Binary Morphological Structuring Elements Using Genetic Algorithms
  • 47
Adaptive background mixture models for real-time tracking
  • C. Stauffer, W. Grimson
  • Mathematics, Computer Science
  • Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
  • 7,418
  • PDF
Fundamenta Morphologicae Mathematicae
  • 50
  • PDF
Digital image processing (2nd ed.)
  • 1,802
...
1
2
...