title: A new edge detector for gray volumetric data.
abstract: We propose a 3-D edge detector for gray voxel-based data, generalizing the well-known Sobel operator for 2-D images. Three differentiation operators are defined corresponding to the three principal directions (coordinate axes). Each operator computes the sum of the intensity differences between certain pairs of neighbors of a voxel corresponding to a principal direction. The proposed edge detector corresponds to the square root of the average of the squares of the three differentiation operators. Implementation of the proposed operator is given for biological images such as CAT and MRI scan data and an electron density map of a macromolecule.
authors.affiliation: Department of Computer Science & Engineering, University of Nebraska-Lincoln 68588-0115, USA.
authors.forename: P
authors.initials: P
authors.lastname: Bhattacharya
authors.forename: D
authors.initials: D
authors.lastname: Wild
mesh_terms: D000465:Algorithms; D003461:Crystallography; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D046911:Macromolecular Substances; D008279:Magnetic Resonance Imaging; D011856:Radiographic Image Enhancement / Q000379:methods; D014057:Tomography, X-Ray Computed
chemical_list: D046911:Macromolecular Substances