Abstract
Edge detection plays a vital role in computer vision and image processing. Edge of the image is one of the
most significant features which are mainly used for image analyzing process. An efficient algorithm for
extracting the edge features of images using simplified version of Gabor Wavelet is proposed in this paper.
Conventional Gabor Wavelet is widely used for edge detection applications. Due do the high computational
complexity of conventional Gabor Wavelet, this may not be used for real time application. Simplified Gabor
wavelet based approach is highly effective at detecting both the location and orientation of edges. The
results proved that the performance of proposed Simplified version of Gabor wavelet is superior to
conventional Gabor Wavelet, other edge detection algorithm and other wavelet based approach. The
performance of the proposed method is proved with the help of FOM, PSNR and Average run time.
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