Abstract
In order to solve the problems of local-maximum modulus extraction and threshold selection in the edge detection of finite-resolution digital images, a wavelet transform based adaptive dual-threshold edge detection algorithm is proposed. The local-maximum modulus is extracted by linear interpolation in wavelet domain. With the analysis on histogram, the image is filtered with an adaptive dual-threshold method, which effectively detects the contours of small structures as well as the boundaries of large objects. A wavelet domain's propagation function is used to further select weak edges. Experimental results show that the self-adaptivity of the threshold to images have the same kind of histogram, and the efficiency are even in noise-tampered images.
Original language | English |
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Pages (from-to) | 247-250 |
Number of pages | 4 |
Journal | Journal of Beijing Institute of Technology (English Edition) |
Volume | 12 |
Issue number | 3 |
Publication status | Published - Sept 2003 |
Keywords
- Dual-threshold
- Edge detection
- Propagation function
- Wavelet transform