TOWARD APPLICATION OF EXTREMAL OPTIMIZATION ALGORITHM IN IMAGE SEGMENTATION

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Gharib Atieh; HARATI AHAD; AKBARZADEH TOTONCHI MOHAMMAD REZA; VAFAEI JAHAN MAJID

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE)
Year:2014 | Issue:4

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Title

TOWARD APPLICATION OF EXTREMAL OPTIMIZATION ALGORITHM IN IMAGE SEGMENTATION

Author(s)

Gharib Atieh | HARATI AHAD | AKBARZADEH TOTONCHI MOHAMMAD REZA | VAFAEI JAHAN MAJID

Keywords

EXTREMAL OPTIMIZATION

SEGMENTATION

OVERSEGMENTED IMAGES

MARKOV RANDOM FIELDS

Abstract

EXTREMAL OPTIMIZATION (EO) ALGORITHM IS A KIND OF EVOLUTIONARY OPTIMIZATION METHOD WHICH HAS BEEN APPLIED SUCCESSFULLY IN DIFFERENT FIELDS. IN THIS PAPER A NEW FRAMEWORK IS PROPOSED FOR APPLYING EXTREMAL OPTIMIZATION IN IMAGE SEGMENTATION. OVERSEGMENTED IMAGES ARE THE INITIAL TO EO WHICH WORKS ON TWO LEVELS: SEGMENTS AND PIXELS. A NEW ENERGY FUNCTION IS DEFINED FOR SEGMENTS AND THE ENERGY FUNCTION IN MARKOV RANDOM FIELDS (MRF) IS USED FOR PIXELS. APPLYING EO IN SEGMENT LEVEL ACCELERATES THE SPEED OF THE ALGORITHM. THE RESULTS SHOW THAT BY DEFINING A SUITABLE ENERGY FUNCTION, EO CAN BE SUCCEED IN MERGING SIMILAR SEGMENTS AND PROVIDE A VISUALLY GOOD SEGMENTATION.

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Cite

APA: Copy

Gharib, Atieh, HARATI, AHAD, AKBARZADEH TOTONCHI, MOHAMMAD REZA, & VAFAEI JAHAN, MAJID. (2014). TOWARD APPLICATION OF EXTREMAL OPTIMIZATION ALGORITHM IN IMAGE SEGMENTATION. INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). SID. https://sid.ir/paper/926354/en

Vancouver: Copy

Gharib Atieh, HARATI AHAD, AKBARZADEH TOTONCHI MOHAMMAD REZA, VAFAEI JAHAN MAJID. TOWARD APPLICATION OF EXTREMAL OPTIMIZATION ALGORITHM IN IMAGE SEGMENTATION. 2014. Available from: https://sid.ir/paper/926354/en

IEEE: Copy

Atieh Gharib, AHAD HARATI, MOHAMMAD REZA AKBARZADEH TOTONCHI, and MAJID VAFAEI JAHAN, “TOWARD APPLICATION OF EXTREMAL OPTIMIZATION ALGORITHM IN IMAGE SEGMENTATION,” presented at the INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). 2014, [Online]. Available: https://sid.ir/paper/926354/en

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