Robust hough transform for noisy and cluttered images

<p> Finding arbitrary shapes within image data is a problem with applications ranging from Internet searching to intelligence data processing to analyzing zoning maps. This task is further complicated when the images are not pristine but contain noise. The effect of noise on the Generalized Ho...

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Bibliographic Details
Main Author: Slininger, Timothy
Language:EN
Published: Southern Connecticut State University 2014
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=1525183