Title :
Line detection Fusion using Spatial Frequency Measurement
Author :
Toontham, Kitti ; Emapana, Bhurit ; Udomhunsakul, Somkait
Author_Institution :
Comput. Eng. Dept., Rajamangala Univ. of Technol. Isan, Khonkaen, Thailand
Abstract :
In this paper, we present a line detection fusion method using Spatial Frequency Measurement (SFM). Our proposed method, A¿ trous algorithm is firstly applied with the original image to get the line feature detail information in two difference resolutions from a coarse one with 5Ã5 mask and a fine one with 3Ã3 mask. Next, both line feature detail information are fused to get a complete line feature using Spatial Frequency Measurement, which is compared with Laplacian Operator. From the experiments, we found that our proposed method provides a complete line feature evaluated by the correlation value. Also, the method is general and can be applied to other features in imagery.
Keywords :
Laplace transforms; frequency measurement; image fusion; object detection; A¿ trous algorithm; Laplacian operator; line detection fusion method; spatial frequency measurement; Band pass filters; Computer science education; Convolution; Educational technology; Frequency measurement; Image resolution; Laplace equations; Low pass filters; Spatial resolution; Wavelet transforms; Á trous algorithm; Correlation value; Laplacian Operator; Line detection; Spatial frequency measurement;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451999