Title :
An Edge Extraction Method for Color Image Using Multiple-Valued LoG Filter and Color Space
Author :
Pham, Cong-Kha ; Yamano, Koutaro
Author_Institution :
Univ. of Electro-Commun., Tokyo
Abstract :
All of the conventional edge extraction methods using LoG filter give output results having binary value. Therefore, the extracted edge always looses a lot of important information. To overcome this problem, the edge extraction method using LoG filter having multiple-valued output such as 3-valued and 5-valued has been proposed. In our work, to improve this extraction method so far, we emphasis the previous method by changing a size of the LoG filter and threshold values as the propose first method. Also, we propose the second method for getting a more detailed edge from a lightness information L, a chrominance information contained in I (orange-blue) information and Q (purple-green) information.
Keywords :
edge detection; image colour analysis; chrominance information; color image; edge extraction; lightness information; multiple-valued LoG filter; Data mining; Diffraction; Filters; Image color analysis; Image edge detection; Image segmentation; Laplace equations; Layout; Noise generators; Smoothing methods;
Conference_Titel :
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-2841-4
DOI :
10.1109/ICIS.2007.54