Title :
Edge-Detector Resolution Improvement by Image Interpolation
Author :
Nalwa, Vishvjit S.
Author_Institution :
Artificial Intelligence Laboratory, Stanford University, CA 94305.
fDate :
5/1/1987 12:00:00 AM
Abstract :
Most step-edge detectors are designed to detect locally straight edge-segments which can be isolated within the operator kernel. While it can easily be demonstrated that a cross-sectional support of at least 4 pixels is required for the unambiguous detection of a stepedge, edges which cannot be isolated within windows having this width can nevertheless be resolved. This is achieved by preceding the stepedge detection process by image-intensity interpolation. Although resolution can be improved in this fashion, the step-edge position and intensity estimates thus determined may be subject to systematic biases. Also, the higher resolution performance is accompanied by lower robustness to noise.
Keywords :
Biomedical computing; Computer applications; Detectors; Graphics; Image edge detection; Image processing; Image resolution; Interpolation; Kernel; Search methods; Digital image processing; edge-detection; image interpolation; image segmentation; resolution improvement; step-edges and line-edges;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1987.4767926