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Edge Detection in Gray Images using Wavelet Transform | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 13, Issue 2, 2008, Pages 290-296 | ||
| Author | ||
| Khalil I. Alsaif | ||
| Abstract | ||
| In this research, wavelets (which was commonly used for image compression with signal and data processing at advanced levels in multimedia) was a doubted for edge detection by applying using the Mallet wavelet an algorithm on different images such as Monaliza and Lena .we used number of scales and applied in MATLAB ,we found when the large numbers of coefficients that lead to narrow edge and small noise and vase visa , the following notes were mentioned: • No need for smoothing operation or pre operations for noise, because it has roperty of Multi Resolution analysis, which give it the ability to detect the edges and treat the noise at the same time. • The wavelet function reduces the high frequencies information of the image, which works on edge detection, while the scale function will absorbes the noise from the image. • The low frequencies information of the image assigned, and high scale has more effect for noise removing and the edge’s width. • Also for more filter parameters a high effect is noticed on noise cancellation in additing to making the edges narrows and vise versa. | ||
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