Connectivity filters for image sequences

Montse Pardas; Jean C. Serra; Luis Torres

doi:10.1117/12.60652

1 June 1992 Connectivity filters for image sequences

Montse Pardas, Jean C. Serra, Luis Torres

Proceedings Volume 1769, Image Algebra and Morphological Image Processing III; (1992) https://doi.org/10.1117/12.60652
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

In this paper a class of morphological filters acting on moving targets is introduced. The aim is to reduce noise such as impulsive noise that may occur at any stage of a communication system. Good and well known classical techniques, such as median filtering, already exist to enhance images corrupted by impulsive noise. The common problem with the use of these techniques for still and moving images is that they generally blur the image. Contours and fine structures present in the image may be gravely affected or even lost. The proposed method is a three-dimensional morphological filter based on the temporal connectivity of image sequences. Additional spatial morphological filters have been used to improve the performance in sequences with high motion or high density of noise. Results are presented that show how the filters act for suppressing impulsive noise and the high resolution obtained in the filtered image sequences.

Citation Download Citation

Montse Pardas, Jean C. Serra, and Luis Torres "Connectivity filters for image sequences", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); https://doi.org/10.1117/12.60652

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