Title :
Multiwavelet packet transforms with application to texture segmentation
Author_Institution :
Center for Gen. Educ., Nat. Kaohsiung Univ. of Appl. Sci., Taiwan
fDate :
8/29/2002 12:00:00 AM
Abstract :
The authors have formulated the segmentation problem upon a textured image as an optimisation problem and adapted evolutionary algorithms for the selection in wavelet feature space. The purpose is to demonstrate the efficiency of Geronimo-Hardin-Massopust (GHM) multiwavelets in texture discrimination with respect to D4 scalar wavelets
Keywords :
discrete wavelet transforms; evolutionary computation; feature extraction; image segmentation; image texture; optimisation; D4 scalar wavelets; GHM multiwavelets; Geronimo-Hardin-Massopust multiwavelets; adapted evolutionary algorithms; discrete multiwavelet transform; multiwavelet packet transforms; optimisation problem; texture discrimination; texture segmentation; textured image; wavelet feature space;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020723
