A Nonlinear Directional Derivative Scheme for Edge Detection
نویسنده
چکیده
Received Jul 5, 2012 Revised Aug 8, 2012 Accepted Aug 15, 2012 In this paper, a new one-stage nonlinear directional derivative scheme has been proposed for edge detection. The directional edge detection method was applied to gray and color images. The results were compared to three wellknown conventional edge detectors namely Canny, Prewitt, and Sobel. According to results, the directional derivative method is an efficient edge detection tool especially in capturing details.
منابع مشابه
Comparison of derivative-based methods by normalized standard deviation approach for edge detection of gravity anomalies
This paper describes the application of the so-called normalized standard deviation (NSTD) method to detect edges of gravity anomalies. Using derivative-based methods enhances the anomaly edges, leading to significant improvement of the interpretation of the geological features. There are many methods for enhancing the edges, most of which are high-pass filters based on the horizontal or vertic...
متن کاملFourth-order numerical solution of a fractional PDE with the nonlinear source term in the electroanalytical chemistry
The aim of this paper is to study the high order difference scheme for the solution of a fractional partial differential equation (PDE) in the electroanalytical chemistry. The space fractional derivative is described in the Riemann-Liouville sense. In the proposed scheme we discretize the space derivative with a fourth-order compact scheme and use the Grunwald- Letnikov discretization of the Ri...
متن کاملNonlinear Edge Preserving Smoothing and Segmentation of 4-D Medical Images via Scale-Space Fingerprint Analysis
An approach is described which has the potential to unify edge preserving smoothing with segmentation based on differential edge detection at multiple scales. The analysis of n-D data is decomposed into independent 1-D problems. Smoothing in various directions along 1-D profiles through n-D data is driven by local structure separation, rather than by local contrast. Analytic expressions are obt...
متن کاملEdge Detection in Multispectral Images
This paper proposes an extension of edge detectors based on second-order differential operators to the case of multiple band (color) images. To this end, we deline a local directional measure of multispectral contrast. A definition of edge point is then given, as the location of a directional maximum of the contrast function. Extremal contrast edges are defined, as loci of zero crossing points ...
متن کاملEdge detection in gravity field of the Gheshm sedimentary basin
Edge detection and edge enhancement techniques play an essential role in interpreting potential field data. This paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. The edge detection methods comprise analytic signal, total horizontal derivative (THDR), theta angle, tilt angle, hyperbolic of tilt angle (H...
متن کامل