Edge Detection Using Spectral Intrinsic Decomposition
Samba Sidibe, Oumar Niang, Ndeye Fatou Ngom · 2017
In this paper, an algorithm for auto adaptive edge detection is proposed. A multi-resolution method called Spectral Intrinsic Decomposition (SID) is first used to perform a signal decomposition. The edge detection method is based on thresholding a sequence of filter parameter. The algorithm includes three steps processing: image decomposition, image recomposition with some components and extraction of local maxima greater than a given threshold. The proposed edge detector is adaptive, robust and extract straightforwardly key components. The effectiveness of this proposed method is illustrated with some results on a set of images samples and compared with previous work. The results show that this new method can outperform other existing edge detection methods and can be used for many applications in various fields like in medical image processing.