Title :
Moving object contour extraction based on GVF Snake and difference multiplication methods
Author :
Wen Qiuzi ; Fu Wenxiu
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
To deal with the problem of inaccuracy in current object contour extraction algorithms, a new approach based on difference multiplication and Gradient Vector Flow (GVF) Snake is proposed. It firstly eliminates most background boundaries through difference multiplication of four consecutive frames. Then median filer is used to remove residual strong noise in the image. Finally, it operates the GVF Snake model to obtain the moving object contour. Simulation results indicate that the method can extract moving object contour completely and improves the contour extraction accuracy.
Keywords :
feature extraction; gradient methods; image denoising; image motion analysis; median filters; object detection; GVF snake; background boundary; difference multiplication methods; gradient vector flow snake; median filter; moving object contour extraction; object contour extraction algorithms; residual strong noise; Active contours; Feature extraction; Filtering; Image edge detection; Noise; Pixel; Simulation; contour extraction; difference multiplication; gradient vector flow; snakes;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569815