Title :
A novel method of straight-lines detection based on Hypercomplex Steerable Filters
Author :
Li Ce ; Pan Xing ; Xiao Limei ; Song Wenyang ; Pan Zhengrong
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Tech, Lanzhou, China
Abstract :
Straight-lines detection is an important task in image process and image analysis. For the traditional algorithm, nature images sometimes have the problem with detection inaccurate and without the use of full color information. In order to solve those problems, we proposed a novel image straight-lines detection algorithm based on Hypercomplex Steerable Filters. Firstly, the Hypercomplex steerable directional filters and Hypercomplex steerable quadrature filters are constructed. Secondly, the color images of natural scenes are detected by them. Finally, straight-lines detection will be obtained by ridge energy of color images. The proposed straight-lines algorithm also can be used in electric power transmission line detection. The experimental results demonstrate the proposed straight-lines algorithm can achieve a better effect compared with the traditional methods.
Keywords :
filtering theory; image colour analysis; object detection; color images; directional filters; electric power transmission line detection; hypercomplex steerable filters; image process; image straight-lines detection algorithm; natural scenes; quadrature filters; ridge energy; Color; Filtering algorithms; Image color analysis; Image edge detection; Information filtering; Interpolation; Directional Filters; Hypercomplex Steerable Filters; Quadrature Filters; Ridge Energy; Straight-lines Detection;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896221