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This paper proposes a novel image feature representation method, called multi-BOF histogram, for ear recognition. Given an ear image, we at first convolve it with J Gabor filters sharing the same parameters except the parameter of orientation. Then they obtained responses of each pixel at each scale and orientation can get J features. Then, each pixel can be assigned a unique features vector, namely...
Histopathological sample examination involves a sequential analysis of several fields of view (FoV) at different magnification levels. Experts integrate this information by implicitly fusing morphometric and spatial features, mainly related with cell appearance, spatial distribution and organization. By performing this analysis a pathologist recognizes several micro structures such as follicle, epidermis,...
This paper presents a new approach for graphical symbols recognition by combining a concept lattice with a bag of words representation. Visual words define the properties of a graphical symbol that will be modeled in the Galois Lattice. The algorithm of classification is based on the Galois lattice where intentions of its concepts are visual words. The words as visual primitives allow to evaluate...
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