A Novel Image Edge Detection Method Using Simplified Gabor Wavelet

The Edge Detection is used in wide range of applications in image processing such as object detection, recognition, automated inspection of machine assemblies, diagnosis in medical imaging and topographical recognition. 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. In this approach, Simplified Gabor Wavelet features are employed for two different scales and four different orientations. The results proved that the performance of proposed Simplified version of Gabor wavelet is superior to conventional Gabor Wavelet and other edge detection algorithm. And also the required run time for proposed work is faster than all other edge detection methods.