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In this paper, after performing a detailed review of the different approaches proposed in the literature, including those based on fuzzy logic, we propose the definition of the hit-or-miss transform for grey-level images in the framework of the fuzzy mathematical morphology based on fuzzy conjunctions and implications under the duality with respect to a fuzzy negation approach.
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Multimodal image matching is discussed next in the framework of image statistics and partial differential equations (PDEs) with an eye on registering fMRI to the anatomy.
It discusses methods available for image processing and analysis in the framework of pattern recognition and AI.
In this paper, inspired by the original insight of granular computing proposed by Zadeh, a generalized image-matting approach is defined in the framework of a novel Granular Deep Learning(GDL), in which the information similarity, proximity and functionality are very important for feature learning.
Unlike existing approaches, proposed method provides a parallel computation and better memory management, while preserving the topology (number of connected components) of the original image by using homotopic transformations defined in the framework of digital topology.
Questions like "what is the functional role of shape" or "how are biological shapes generated and regulated" can be addressed in the framework of image-based systems biology.
Processed images of each tissue class were analyzed in the framework of the general linear model.
The effectiveness of our color segmentation method is assessed in the framework of soccer image analysis.
The proposed methods are presented in the framework of the image foresting transform, which naturally leads to efficient and correct graph algorithms.
The problems regulated in The Convention on Human Rights and Biomedicine, in the framework of the above image, can be qualified threefold.
Open image in new window Fig. 7 Sand compressibility in the framework of beingornonbeing philosophy.
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