In order to measure the thickness of the thin layer, wavelet transform modulus maxima method based on Marr wavelet is utilized for the ZrO_2 ceramic coating with the thickness ranging from 250μm to 350μm.

In this paper,Marr wavelet is used in electrocardiosignal resolution filtering according to Mallat algorithm.

It judges the yellow pixel with YSC color space directly,afterwards detects connected region in order to delete the short yellow line,then fits the break points by using close operation in Mathematical Morphological Metheods,finally use the Marr wavelet transform to pair yellow line.

In this paper, we use Mallat algorithm to calculate dyadic Marr wavelet transforms, analyse the relationship between singularity of the signal (the peak of R wave) and local maximal value of WT s from the view of equivalent wavelet filter, discuss the performance distinction between quadratic differential wavelet and single differential wavelet for singularity detection.

Methods We use Mallat algorithm to calculate dyadic Marr wavelet transforms, analyse the relationship between singularity of the signal(the peak of R wave) and local maximal value of WT s from the view of equivalent wavelet filter and discuss the performance distinction between quadratic differential wavelet and single differential wav.

In this paper, Mallat algorithm based on dyadic Marr wavelet transforms was used to multi-resolution analysis on the signal, and mathematical morphology operation was used to clarify the signal s peaks and valleys.

This paper proposes an approach to edge analysis of multi_band image using Marr s method,on the basis of the introductions of Marr theory and the principles of edge detection proposed by Marr and Hildreth.