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124381

COMPOUND IMAGE SEGMENTATION

Article

Last updated: 26 Dec 2024

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Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Compound document images contain a mixture of natural image and text/graphics. They are very common forms of documents found in magazines, websites, etc. Text and graphics components need special care in the use of compression because text and graphics cannot withstand the significant distortion that is acceptable for natural images. This paper represents a study of different algorithms for segmentation to identify the compound image components. This study focuses on discrete cosine transform (DCT) algorithm, fast Fourier transform (FFT) algorithm, and block based segmentation algorithm; mean, variance, and mean/variance. The segmentation process in general starts with dividing the whole image into non overlapping blocks. Then each block has to be classified either to text/graphics or image via a certain threshold according to the algorithm. the results show that after applying any algorithm the compound image is already classified and the percentage of correct classified text pixels CCPt is calculated and also the percentage of correct classified image pixels CCPi is calculated to present the efficiency of the algorithm, that FFT algorithm is the best one of them that the CCPi between 87.59% in CNN image and 100% in letter image also CCPi between 97.33% TOY image and 100% in leteer image.

DOI

10.21608/jesaun.2010.124381

Keywords

Image Segmentation, block based segmentation, Discrete Cosine Transform, Fast Fourier transform, mean based algorithm, variance algorithm

Authors

First Name

Ibrahim

Last Name

Ismail

MiddleName

-

Affiliation

Professor Doctor Engineer faculty of engineering, Helwan University, Cairo, Egypt.

Email

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City

-

Orcid

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First Name

Alaa

Last Name

Hamdy

MiddleName

-

Affiliation

Doctor Engineer faculty of engineering, Helwan University, Cairo, Egypt.

Email

-

City

-

Orcid

-

First Name

Seham

Last Name

Mostafa

MiddleName

-

Affiliation

Engineer.

Email

-

City

-

Orcid

-

Volume

38

Article Issue

No 2

Related Issue

16739

Issue Date

2010-03-01

Receive Date

2009-10-13

Publish Date

2010-03-01

Page Start

533

Page End

546

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 38_Issue No 2_Pages 533-546.pdf

PDF . 397.3kB

Link

https://jesaun.journals.ekb.eg/article_124381.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=124381

Order

12

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

COMPOUND IMAGE SEGMENTATION

Details

Type

Article

Created At

23 Jan 2023