Multi-Focus Fusion Based on the Imaging Fuzzy Mechanism

Xiao Feng Yue; Tao Shen Li; Zi Xin Feng

doi:10.4028/www.scientific.net/AMM.239-240.135

Paper Titles

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Echo Sounder Survey in Dongzhai Bay to Detect the Earthquake Event in 1605, Hainan, South China
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MPPT of Two-Peak PV System Combined the Hysteresis Comparison Method with Incremental Conductance
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Surface Reconstruction Method by Photometric Stereovision Based on Oren-Nayar’s Model
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Multi-Focus Fusion Based on the Imaging Fuzzy Mechanism
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Two Spectral Reconstruction Methods and their Accuracy Comparison
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A High Precision Pico-Amperes Scale Current Measurement System in Radiation Detection
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Precise Measurement on Form of Horizontal Tank Used for Liquid Volume Metrology by Laser Scanning Method
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Wavelength Shift Detection Methods Based on Cross-Correlation Analysis for Signal Demodulation of Fiber Bragg Grating Sensing System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Multi-Focus Fusion Based on the Imaging Fuzzy...

Multi-Focus Fusion Based on the Imaging Fuzzy Mechanism

Abstract:

This paper put forward an image fusion algorithm which based on the analysis of the imaging theory fusion, the fusion process is first will have been registration of the original image into several pieces, we calculate the correlation of corresponding piece, as the image contrast evaluation criteria, by selecting two images in the clear image block form fusion image. This paper discusses the principle analysis from optical imaging, the cause of the fusion algorithm, to avoid the use of Gaussian Blur model to explain the image of a fuzzy controversy. The experimental results show that the proposed algorithm is good real-time performance, for registration fusion image can achieve even more than general wavelet decomposition of the fusion algorithm.