English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

将插值共轭滤波器与 Malat塔式分解算法相结合,给出一种新的图像边缘检测算法。将该算法与经典小波算法进行 对比实验,结果表明,该方法能够检测出经典小波算法无法检测到的边缘细节,且最终得到的图像边缘清晰完整,从而 验证了该算法的有效性。 关键词 插值小波,插值共轭滤波器,塔式分解,图像边缘检测 中图法分类号 TP391 文献标识码 A  Image Edge Detection Based on Pyramidal Algorithm of Interpolation Wavelet ZHANG Zhi-guo ZHENG Xi LAN Jing-chuan (University of Electronic Science and Technology of China,Chengdu 611730,China)  Abstract When classic wavelet theory is applied to detect edge of images,discrete integral formula is often used to replace continuous integral to obtain wavelet coefficients.Since discrete integral is approximate expression of continuous integral,great numerical errors often cannot be avoided in calculations.This has lead to the fact that some details of images cannot be described clearly in edge detection.To solve this problem,by applying Malat pyramidal algorithm to interpolation conjugate filter,a new algorithm was proposed for edge detection based on the fact that image pixel values can be considered as coefficients of interpolation wavelets.In the experiment,our algorithm is compared with the classic one.It is shown that the new algorithm can obtain clearer and more intact edges.This implies that our algorithm is more effective and accurate than the classic one.

基于插值小波塔式分解算法的图像边缘检测 (Image Edge Detection Based on Pyramidal Algorithm of Interpolation Wavelet).