A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection Method for Non-Diffraction Beam Image Based on Local Maximum Intensity
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
An Edge Detection Algorithm of Image Based on Empirical Mode Decomposition
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
Neighbor embedding based super-resolution algorithm through edge detection and feature selection
Pattern Recognition Letters
Omnidirectional edge detection
Computer Vision and Image Understanding
A New Classification Mechanism for Retinal Images
ITCS '09 Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 02
A novel iris segmentation using radial-suppression edge detection
Signal Processing
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An edge in an image is the boundary between two different regions. Edge detection is important in image processing and computer vision, particularly in the area of feature detection. An edge often indicates the physical extent of object within the image. An edge detection process ultimately aims to obtain a binary edge map. In this paper, we propose a new scheme for edge detection. It is simple but efficient and works well for the images that have large jumps between the values of an element and its neighbors.