北京理工大学学报(英文版)
北京理工大學學報(英文版)
북경리공대학학보(영문판)
JOURNAL BEIJING INSTITUTE OF TECHNOLOGY
2003年
3期
247-250
,共4页
wavelet transform%edge detection%propagation function%dual-threshold
In order to solve the problems of local-maximum modulus extraction and threshold selection in the edge detection of finite-resolution digital images, a new 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 have shown the self-adaptivity of the threshold to images having the same kind of histogram, and the efficiency even in noise-tampered images.
