Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 194-197.

• Pattem Recognition & Image Processing • Previous Articles     Next Articles

Edge Detection for Noisy Image Based on Wavelet Transform and New Mathematical Morphology

YU Xiao-qing, CHEN Ren-wen, TANG Jie, XU Jin-ting   

  1. State Key Laboratory of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and
    Astronautics,Nanjing 210016,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: In order to remove image noise and preserve image edge information in image edge detection,a edge detection method for noisy image based on wavelet transform modulus maxima and improved mathematical morphology edge detection was proposed.Firstly,the image edge detection algorithm based on wavelet transform modulus maxima was introduced.Then a new improved mathematical morphology was proposed.Finally,in order to synthesize the merits of the two algorithms,a new fusion method was used to fuse the results of the two methods together,and a novel edge detection method for noisy image based on wavelet transform and new morphology was proposed.The experimental results show that the proposed fusion detection algorithm can suppress the noise more effectively and improve the edge detection effect than using wavelet transform modulus maxima or new mathematical morphology alone.

Key words: Edge detection, Image fusion, Mathematical morphology, Modulus maximum

CLC Number: 

  • TP391.41
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