Abstract:

According to the problem which image edge detection is easily affected by illumination,an edge detection method that using phase congruency in Riesz transformation space was proposed.Firstly,Riesz transformation instead of Hilbert transformation was used for image processing,new transformation space which is used for computing phase congruence is defined by different scale factors of Riesz transformation.Feature image was obtained by (computed).The feature of phase congruency algorithm in Riesz transformation space,and then Non-maxima suppression was uesd to detect edge information.Finally,compared with the traditional method of Hilbert phase congruence,2D Log-Gabor transformation and Canny edge detecting,the proposed algorithm can achieve promising results and be applied to images edge extraction under asymmetry quality of illumination conditions.Moreover,simulation results show that image feature extraction based on Riesz transformation operating is faster than the traditional phase congruency based on Hilbert transformation.The proposed method is feasible and valid.

Key words: feature extraction, Riesz transformation, phase congruency(PC), edge detection