A new edge detection algorithm for image corrupted by White-Gaussian noise

Abstract Because corruption of image by White-Gaussian noise is a frequently encountered problem in acquisition, transmission and processing of image, and classical edge detection operators such as Roberts, Sobel, Prewitt and LOG operator have the deficiency of being sensitive to White-Gaussian noise, this paper proposes a new edge detection algorithm for Image corrupted by White-Gaussian noise that can reasonably consider White-Gaussian noise reduction and correct location of edge, and provides its specific arithmetic process. Finally, the comparison based on principle of new edge detection algorithm and classical edge detection operator is done, the experimental results indicate that the performance of new edge detection algorithm is better than that of classical edge detection operator.

[1]  H H Barrett,et al.  Objective assessment of image quality: effects of quantum noise and object variability. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[2]  Tom Chen,et al.  VLSI Architecture for Real-Time Edge Linking , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Robert M. Haralick,et al.  Morphologic edge detection , 1987, IEEE J. Robotics Autom..

[4]  V. Ralph Algazi,et al.  Objective picture quality scale (PQS) for image coding , 1998, IEEE Trans. Commun..

[5]  J. Soraghan,et al.  Fuzzy-based multiscale edge detection , 2003 .

[6]  Yitzhak Yitzhaky,et al.  A Method for Objective Edge Detection Evaluation and Detector Parameter Selection , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Vincent Torre,et al.  Localization and Noise in Edge Detection , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Din-Chang Tseng,et al.  A wavelet-based multiresolution edge detection and tracking , 2005, Image Vis. Comput..

[9]  Marcello Demi,et al.  Real time contour tracking with a new edge detector , 2004, Real Time Imaging.

[10]  Paul F. Whelan,et al.  Computational approach for edge linking , 2002, J. Electronic Imaging.

[11]  Paul S. Fisher,et al.  Image quality measures and their performance , 1995, IEEE Trans. Commun..

[12]  M S Woolfson,et al.  Application of region-based segmentation and neural network edge detection to skin lesions. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[13]  Aly A. Farag,et al.  Edge linking by sequential search , 1995, Pattern Recognit..

[14]  Frank Y. Shih,et al.  Adaptive mathematical morphology for edge linking , 2004, Inf. Sci..

[15]  Daniela Iacoviello,et al.  Modeling for edge detection problems in blurred noisy images , 2001, IEEE Trans. Image Process..

[16]  Dong-Jo Park,et al.  Unsupervised video object segmentation and tracking based on new edge features , 2004, Pattern Recognit. Lett..