آشكارسازي لبه با استفاده از تركيب تبديل ويولت ايزوتروپيك و جهت دار

Edge Detection Using Combined Isotropic and Directional Wavelet Transform

In this paper we propose a new approach for solving the edge detection problem using combined isotropic and directional wavelet transform. A primary knowledge about the direction of the gradient of the image, the direction of the probable edges, is extracted by the ordinary separable isotropic wavelet-based edge detector; then based on the computed direction of the probable edges, the adaptive nonseparable directional wavelet-based edge detector is applied on these pixels and the new magnit{ade of the wavelet transform coefficients is computed and compared to a certain threshold value; then the pixel is classified as edge points or not edge points. This method detects the edges of the image with superior quality and performance comparing to the ordinary wavelet-based edge detection in the presence of noise; and has less computational cost compared to the directional wavelet-based edge detection methods presented before.