STRUCTURAL IMAGE REPRESENTATION FOR IMAGE REGISTRATION

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Aghajani Khadijeh; Shirpour Mohsen; Manzuri M.T.

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP)
Year:2015 | Issue:1

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Title

STRUCTURAL IMAGE REPRESENTATION FOR IMAGE REGISTRATION

Author(s)

Aghajani Khadijeh | Shirpour Mohsen | Manzuri M.T. | Issue Writer Certificate

Keywords

IMAGE REGISTRATION

STRUCTURAL IMAGE REPRESENTATION

PHASE CONGRUENCY

Abstract

IMAGE REGISTRATION IS AN IMPORTANT TASK IN MEDICAL IMAGE PROCESSING. ASSUMING SPATIALLY STATIONARY INTENSITY RELATION AMONG IMAGES, CONVENTIONAL AREA BASED ALGORITHMS SUCH AS CC (CORRELATION COEFFICIENTS) AND MI (MUTUAL INFORMATION), SHOW WEAKER RESULTS ALONGSIDE SPATIALLY VARYING INTENSITY DISTORTION. IN THIS RESEARCH, A STRUCTURAL REPRESENTATION OF IMAGES IS INTRODUCED. IT ALLOWS US TO USE SIMPLER SIMILARITY METRICS IN MULTIMODAL IMAGES WHICH ARE ALSO ROBUST AGAINST THE MENTIONED DISTORTION FIELD. THE EFFICIENCY OF THIS PRESENTATION IN NON-RIGID IMAGE REGISTRATION IN THE PRESENCE OF SPATIAL VARYING DISTORTION FIELD IS EXAMINED. EXPERIMENTAL RESULTS ON SYNTHETIC AND REAL-WORLD DATA SETS DEMONSTRATE THE EFFECTIVENESS OF THE PROPOSED METHOD FOR IMAGE REGISTRATION TASKS.

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APA: Copy

Aghajani, Khadijeh, Shirpour, Mohsen, & Manzuri, M.T.. (2015). STRUCTURAL IMAGE REPRESENTATION FOR IMAGE REGISTRATION. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927513/en

Vancouver: Copy

Aghajani Khadijeh, Shirpour Mohsen, Manzuri M.T.. STRUCTURAL IMAGE REPRESENTATION FOR IMAGE REGISTRATION. 2015. Available from: https://sid.ir/paper/927513/en

IEEE: Copy

Khadijeh Aghajani, Mohsen Shirpour, and M.T. Manzuri, “STRUCTURAL IMAGE REPRESENTATION FOR IMAGE REGISTRATION,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927513/en

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