Multisegmentation through wavelets: Comparing the efficacy of Daubechies vs Coiflets

07/20/2012
by   Madhur Srivastava, et al.
0

In this paper, we carry out a comparative study of the efficacy of wavelets belonging to Daubechies and Coiflet family in achieving image segmentation through a fast statistical algorithm.The fact that wavelets belonging to Daubechies family optimally capture the polynomial trends and those of Coiflet family satisfy mini-max condition, makes this comparison interesting. In the context of the present algorithm, it is found that the performance of Coiflet wavelets is better, as compared to Daubechies wavelet.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/14/2018

A better lower bound on the family complexity of binary Legendre sequence

In this paper we study a family of binary Legendre sequences and its fam...
research
11/01/2021

Parabola-Inscribed Poncelet Polygons Derived from the Bicentric Family

We study loci and properties of a Parabola-inscribed family of Poncelet ...
research
11/18/2022

Clustering based opcode graph generation for malware variant detection

Malwares are the key means leveraged by threat actors in the cyber space...
research
04/10/2023

Fast polynomial arithmetic in homomorphic encryption with cyclo-multiquadratic fields

This work provides refined polynomial upper bounds for the condition num...
research
06/13/2018

A Curious Case of Curbed Condition

In computer aided geometric design a polynomial is usually represented i...
research
07/23/2021

Wavelet Design in a Learning Framework

Wavelets have proven to be highly successful in several signal and image...

Please sign up or login with your details

Forgot password? Click here to reset