Title :
Edge detection for Feather and down image via BEMD and soft morphology
Author :
Yan, Xiaofei ; Wang, Yanqiu
Author_Institution :
Coll. of Inf. Sci. & Eng., Zaozhuang Univ., Zaozhuang, China
Abstract :
Empirical Mode Decomposition (EMD) is a new concept in the field of signal processing. The technique extended to analyze two-dimensional (2D) data is known as Bidimensional EMD (BEMD). In the paper, an edge detection method for Feather and Down Image using BEMD and soft morphology methods is proposed. Firstly, the BIMF image of Feather and Down Image is decomposed by BEMD, and then the BIMF image is converted into binary image and processed using soft morphology, and the result image is edge detection of the Feather and Down Image. After detecting the edge of the Feather and Down Image using our method, the recognition rate of the Feather and Down Category is obviously raised.
Keywords :
edge detection; 2D data; BEMD; BIMF image; bidimensional EMD; binary image; down image; edge detection; empirical mode decomposition; feather image; image recognition rate; signal processing; soft morphology; Image edge detection; Morphology; BEMD; Edge Detection; Feather and Down; Soft Morphology;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182272