Image fusion using fuzzy logic pixel fusion for dual modality tomography system

• Main Authors: Pusppanathan, Jaysuman (Author), Faramarzi, Mahdi (Author), Mohd. Yunus, Fazlul Rahman (Author), Nor Ayob, Nor Muzakkir (Author), Abdul Rahim, Ruzairi (Author), Phang, Fatin Aliah (Author), Fazalul Rahiman, Mohd. Hafiz (Author), Ahmad, Anita (Author), Leow, Pei Ling (Author), Abas, Khairul Hamimah (Author)
• Format: Article
• Language: English
• Published: Penerbit UTM, 2014.
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: Get fulltext

Process tomography has been widely investigated and developed over time. The aim of this method is to measure the cross-sectional distribution of multiphase flow parameters based on its sensing technique. These single modality approaches has its own limitation whereby combination of two or more modality could overcome this issue. Therefore, a dual modality tomography (DMT) emergence of electrical capacitance sensors and ultrasonic sensor arrays for multiphase liquid mixture measurement was proposed. This paper presents an image fusion model using fuzzy logic pixel fusion method to integrate information for multisensory system such as DMT. A simulation analysis was carried out to perform image fusion on both ECT and UT input images. The developed fusion model proven to be successful in visualizing multiphase flow measurement. Thus, further validation and assessments were employed on the acquired results.