Title :
Morphological operators for segmentation of color sequences
Author :
Flores, Franklin CÉsar ; Irata, Robertoh, Jr. ; Barrera, Junior ; Lotufo, Roberto A. ; Meyer, Fernand
Author_Institution :
Inst. de Matematica e Estatistica, Sao Paulo Univ., Brazil
Abstract :
This paper presents a technique for the segmentation of moving objects in color image sequences. The technique is based on Beucher-Meyer paradigm, with markers detected by a morphological operator designed by computational learning (or, equivalently, statistical optimization). Objects in some frames of the video are marked manually and used to train the markers detector. Then, the operator designed is used to mark the objects in the other frames and the paradigm is applied to all frames marked by the detector. Two real world examples illustrate the application of the proposed technique
Keywords :
image colour analysis; image motion analysis; image segmentation; image sequences; mathematical morphology; object detection; color sequence segmentation; computational learning; image sequences; mathematical morphology; morphological operators; moving object segmentation; statistical optimization; video frames; Color; Design optimization; Detectors; Digital images; Filtering; Gray-scale; Image edge detection; Image segmentation; Image sequences; Object detection;
Conference_Titel :
Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
Conference_Location :
Gramado
Print_ISBN :
0-7695-0878-2
DOI :
10.1109/SIBGRA.2000.883926