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Image fusion techniques can integrate the information from different imaging modalities to get a composite image which is more suitable for human visual perception and further image processing tasks. Fusing green fluorescent protein (GFP) and phase contrast images is very important for subcellular localization, functional analysis of protein and genome expression. The fusion method of GFP and phase...
Analyzing the spatial and spectral properties of CT and MRI scan medical images; this article proposes a novel method for CT-MRI image fusion. Independent component analysis is used to analyze images for acquiring independent component. This paper addresses an efficient algorithm for ICA-based image fusion with selection of optimal independent components using E-coli Bacterial Foraging Optimization...
Fusion of gray and pseudo-color images presents more information of biological tissues in a single image and facilitates the interpretation of multimodalities in medical practice. However, fused results are hampered by the problems of blurred details, faded color and artifact contours. This paper reports a method to solve the problems by precisely predicting the attributes of color perception using...
Multi-modality biomedical imagespsila feature detection, registration, and fusion are usually scene dependent which requires intensive computational effort. A novel automated approach of the multi-modality retinal image control point detection, registration, and fusion is proposed in this paper. The new algorithm is reliable and time efficient, which implements automatic adaptation from frame to frame...
Biomedical image fusion is generally scene dependent, which requires intensive computational effort. A novel approach of feature-based registration and area-based heuristic optimization fusion of multi-modality retinal images is proposed in this paper. The new algorithm, which is reliable, robust, and time-efficient, has an automatic adaptation from frame to frame with few tunable threshold parameters...
A novel automated approach of the multi-modality retinal image registration and fusion has been developed. The new algorithm, which is reliable, robust, and time-efficient, has an automatic adaptation from frame to frame with few tunable threshold parameters. The registration is based on retinal vasculature extraction using canny edge detector, and control point identification at the vessel bifurcations...
Use of Computer Tomography(CT) , Magnetic Resonance (MR), Single Photon Emission Computed Tomography (SPECT) techniques in biomedical imaging has revolutionized the process of medical diagnosis in recent years. Further advancements in biomedical imaging are being done by development of new tools of image processing. One of tools is image fusion .The fusion of CT scan , MR and SPECT images can make...
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