A simplified approach to the HMM based texture analysis and its application to document segmentation
Pattern Recognition Letters
Pattern Recognition Letters
Stereo for Recovering Sharp Object Boundaries
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
An algorithmic approach to controlling search in three-dimensional image data
SIGGRAPH '79 Proceedings of the 6th annual conference on Computer graphics and interactive techniques
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Extracting image orientation feature by using integration operator
Pattern Recognition
Color-texture image segmentation by integrating directional operators into JSEG method
Pattern Recognition Letters
Color-texture image segmentation by integrating directional operators into JSEG method
Pattern Recognition Letters
The discrete modal transform and its application to lossy image compression
Image Communication
Multi-resolution system for artifact removal and edge enhancement in computerized tomography images
Pattern Recognition Letters
High resolution surface reconstruction from overlapping multiple-views
Proceedings of the twenty-fifth annual symposium on Computational geometry
A new algorithm to extract the lines and edges through orthogonal projections
Digital Signal Processing
Strongly concave star-shaped contour characterization by algebra tools
Signal Processing
Some properties of Hueckel-type edge operators
Pattern Recognition Letters
Implementation of a fast programmable edge detection preprocessor
Pattern Recognition Letters
Microelectronic Engineering
Computer Methods and Programs in Biomedicine
Binarization based edge detection using universal law of gravity and ant colony optimization
International Journal of Hybrid Intelligent Systems
Hi-index | 14.98 |
We study class of fast algorithms that extract object boundaries from digitized images. A set of orthogonal functions related to distinctive image features is presented, which allows efficient extraction of such boundary elements. The properties of these functions are. used to define new criteria for edge detection and a sequential algorithm is presented. Results indicate considerable improvements over, existing techniques, with a very moderate increase of computational cost.