A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Class of Detail-Preserving Filters for Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The E-filter is a homomorphic filter proposed by D.J.H. Moore and D.J. Parker (1973) which differentiates the small and large amplitude components of a signal. A description is given of a generalization of the E-filter to include a control parameter. Selective tuning of this parameter causes the behavior of the E-filter to range from linear to highly nonlinear. It is found that the E-filter can be simply implemented and has several properties which make it attractive for use in edge detection problems. The superiority of the E-filter to sale-space filtering for edge detection in one-dimensional systems is shown.