Enhancement of Gabor Directional Wavelet Edge Detection Method
Research Area: | Volume 3,Issue 6, Nov. 2014 | Year: | 2014 |
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Type of Publication: | Article | Keywords: | Canny, The Dyadic Wavelet Transform, Directional Wavelet, Gabor Wavelet |
Authors: |
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Journal: | IJEIR | Volume: | 3 |
Number: | 6 | Pages: | 839-849 |
Month: | November | ||
Abstract: | This paper presents an approach for the enhancement of the performance of conventional Gabor directional wavelet edge detection method. The approach involves pre- and post-processing techniques. In the pre-processing technique, the input image is segmented by an optimal threshold method based on Shannon and Tsallis entropy. The segmented image is then applied to the Gabor directional wavelet edge detection method. In the post-processing, the output of the Gabor directional wavelet edge detection method is hysteresis thresholded. The lower and higher threshold values are computed using Otsu’s method. The output greater than the higher threshold is taken as edge and, the lower than low threshold level is rejected. The output between the lower and higher is threshold using a single threshold value also computed by Otsu’s method. Simulations results have been presented to show the impact of the proposed pre- and post-processing techniques in enhancing the performance of the Gabor directional wavelet edge detection method. The performance of the presented pre-, post-processed and simultaneous pre- and post-processed Gabor directional wavelet edge detection method are compared with the conventional Gabor and the commonly used Sobel and Canny methods. The results have shown that images with different edges can be best handled by the presented simultaneous pre- and post-processed Gabor directional wavelet edge detection method. |
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Full text: IJEIR_1253_Final.pdf
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