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Automatic classification of Human Epithelial Type-2 (HEp-2) specimen patterns is an important yet challenging problem in medical image analysis. Most prior works have primarily focused on cells images classification problem which is one of the early essential steps in the system pipeline, while less attention has been paid to the classification of whole-specimen ones. In this work, a specimen pattern...
Automatic classification of Human Epithelial Type-2 (HEp-2) cells staining patterns is a challenging and important problem in the field of medical image analysis. This paper proposed an efficient framework to address the HEp-2 cell image classification problem based on wavelet scattering network and Random Forest. The wavelet scattering network computes rotation-invariant wavelet coefficients as representations...
In this paper we present a novel and robust fusion algorithm for the infrared and visible Power-Equipment image, which is invariant to large-scale changes and illumination changes in the real operating environment of Power Equipments. Firstly, the Scale-Invariant Feature Transform (SIFT) algorithm is used to extract and describe the feature points from the infrared and visible images. Secondly, the...
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