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In recent years, many vehicle detection algorithms have been proposed. However, a lot of challenges still remain. Local Binary Pattern (LBP) is one of the most popular texture descriptors which has shown its superiority in face recognition and pedestrian detection. But the original LBP pattern is sensitive to noise especially in flat region where gray levels change rarely. To solve this problem, Local...
According to the theory of traditional Chinese medicine (TCM), the tongue's color, texture and shape can reflect a person's physical health. Therefore, the tongue image analysis and matching are playing more and more important role in the tongue image's computer auxiliary diagnosis in TCM. Currently, the majority of the existing tongue image analysis methods are based on the single image feature (such...
Ship detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. This paper focuses on the issue of ship detection from spaceborne optical images (SDSOI). Although advantages of synthetic-aperture radar (SAR) result in that most of current ship detection approaches are based on SAR images,...
This paper proposes a novel approach which combines empirical mode decomposition (EMD), short-time analysis and support vector machine (SVM) for text-independent speaker recognition. Short-time analysis is used for the result of empirical mode decomposition to extract speech features of speakers, and then the support vector machine are used for speaker recognition. Experiments demonstrate that the...
This paper describes a novel hierarchical framework for automatic identification of plankton images, which is motivated by the semantics description of planktons used in the biology textbooks. The framework discretizes the identification of plankton into the recognition of various high-level shape semantics features. The semantics features are modeled with some manual instructions. Distinct from the...
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