Date of Award
1995
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computer Science
First Advisor
S. Sitharama Iyengar
Abstract
This dissertation applies multiresolution methods to two important problems in signal analysis. The problem of fault-tolerant sensor integration in distributed sensor networks is addressed, and an efficient multiresolutional algorithm for estimating the sensors' effective output is proposed. The problem of object/shape recognition in images is addressed in a multiresolutional setting using pyramidal decomposition of images with respect to an orthonormal wavelet basis. A new approach to efficient template matching to detect objects using computational geometric methods is put forward. An efficient paradigm for object recognition is described.
Recommended Citation
Prasad, Lakshman, "Multiresolutional Fault-Tolerant Sensor Integration and Object Recognition in Images." (1995). LSU Historical Dissertations and Theses. 5977.
https://repository.lsu.edu/gradschool_disstheses/5977
Pages
142
DOI
10.31390/gradschool_disstheses.5977