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164258

Object Matching by Image Contours Using Neural Networks.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

This paper deals with the implementation of 3-d object matching system. The shape of the object is identified from the image lines and curves using Hough transform, chain code and backpropagation neural networks. This is achieved by first dynamically thresholding the grey level image, then segmenting the image into its linear components with both Hough transform and chain coding. A backpropagation framework is used for classifying the image into one of possible surfaces based on the extracted vertices and line segments. To fix the number of input layer neurons, the image features are normalized. The approach is tried on a variety of real objects and appears to hold great promise. 

DOI

10.21608/bfemu.2021.164258

Keywords

3-D Object recognition, Shape matching, Chain code, Hough transform, Surface classification, Neural Networks

Authors

First Name

A.

Last Name

El-Shami

MiddleName

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Affiliation

Department of Mathematics., University of Suez Canal., Egypt.

Email

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City

-

Orcid

-

First Name

H.

Last Name

Niemann

MiddleName

-

Affiliation

Department of Computer Science., University of Erlangen., Germany.

Email

-

City

-

Orcid

-

First Name

A.

Last Name

Tolba

MiddleName

-

Affiliation

Department of Electrical Engineering., University of Suez Canal., Egypt.

Email

-

City

-

Orcid

-

Volume

19

Article Issue

4

Related Issue

23885

Issue Date

1994-12-01

Receive Date

1994-10-11

Publish Date

2021-12-01

Page Start

75

Page End

91

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 19_Issue 4_Pages 75-91.pdf

PDF . 1.3MB

Link

https://bfemu.journals.ekb.eg/article_164258.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=164258

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

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Details

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Article

Created At

22 Jan 2023