Detecting lines in gray level images using search techniques
type: Item
instance of: scholarly article
title: Detecting lines in gray level images using search techniques
zbMATH Open document ID: 0817.68139
DOI: 10.1016/0165-1684(94)90110-4
author: K. N. V. L. N. Koundinya
author: Bhabatosh Chanda
published in: Signal Processing
publication date: 1994-07-04T00:00:00Z
review text: The paper deals with line detection operators for low-resolution, low- contrast noisy gray level images. Three different algorithms are presented. The first employs a conventional tracking approach. The other two combine a confidence measure and best-first resp. depth-first graph search techniques. Experimental results demonstrate the superiority of the latter two approaches. The paper may be of interest for scientists engaged in problems of image analysis.
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 600134
zbMATH Keywords: line detection operators
zbMATH Keywords: noisy gray level images
zbMATH Keywords: image analysis
MaRDI profile type: Publication
full work available at URL: 0165-1684(94)90110-4
OpenAlex ID: W2068904308
description: scientific article; zbMATH DE number 600134