Anatomical and functional image fusion with guided filtering
نویسندگان
چکیده
منابع مشابه
Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery
In order to achieve its main goal of maximal tumor removal while avoiding postoperative neurologic deficits, neuro-oncological surgery is strongly dependent on image guidance. Among all currently available imaging modalities, MRI provides the best anatomic detail and is highly sensitive for intracranial pathology. However, conventional MRI does not detect the exact location of white matter trac...
متن کاملColorful Multi-Exposure Fusion with Guided Filtering based Fusion Method
Multi-exposure fusion(MEF) are techniques to obtain the high dynamic range. One of MEF methods, guided filtering-based fusion(GFF) has good performance for preserving details of original images. However, GFF method considers only details, which causes a problem of missing color information. To solve this problem, we proposed a saliency map-based approach for considering both detail and color in...
متن کاملAlternating guided image filtering
Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing both blurring and over-sharpening of visually important edges. Here we present the Alternating Guided Filter (AGF) that achieves...
متن کاملRobust Guided Image Filtering
The process of using one image to guide the filtering process of another one is called Guided Image Filtering (GIF). The main challenge of GIF is the structure inconsistency between the guidance image and the target image. Besides, noise in the target image is also a challenging issue especially when it is heavy. In this paper, we propose a general framework for Robust Guided Image Filtering (R...
متن کاملIterative guided image fusion
We propose a multi-scale image fusion scheme based on guided filtering. Guided filtering can effectively reduce noise while preserving detail boundaries. When applied in an iterative mode, guided filtering selectively eliminates small scale details while restoring larger scale edges. The proposed multi-scale image fusion scheme achieves spatial consistency by using guided filtering both at the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2019
ISSN: 1757-899X
DOI: 10.1088/1757-899x/563/4/042023