Edge recognition in MMWave images by biorthogonal wavelet decomposition and genetic algorithm

被引：0
|
作者：
Bhattacharya, C. [1 ]
Dutta, V. P. [1 ]
机构：
[1] DEAL, DRDO, Raipur Rd, Dehra Dun 248001, Uttar Pradesh, India
来源：
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION | 2007年
关键词：
multiresolution; edge recognition; genetic algorithm; biorthogonal wavelet;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a multiresolution approach to recognize the edges of objects in MMWave images by generating multiscale image approximations. Bounds of threshold for the multiscale edge operator are optimized by genetic algorithm (GA). Equivalence of 2-D multiscale discrete wavelet transform to Canny edge operator is exploited here to optimize the bounds of hysteresis threshold. The invariance of object boundaries to dyadic coarser change of scale is shown in the results.
引用
收藏
页码：203 / +
页数：3
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