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In this paper, we propose a novel method for the detection of microcalcifications using mathematical morphology and a support vector machine (SVM). First, the contrast in the original mammogram was improved by gamma correction and two carefully designed structural elements were used to enhance any microcalcifications. Next, the potential regions were(More)
Face recognition with single training sample has the problem that the sample is single and face pattern is changeable. The rate of traditional face recognition methods declines seriously in the case of single training sample. Thus, studying the face recognition method which is appropriate for single training sample is challenging in face recognition field.(More)
The structure of data is important to the recognition of data. It is a fundamental question how measures and complements the structure of multi-features, because the fusion structure of multi-features is more complete than that of the single feature. To settle the question, we propose three methods for feature structure fusion in feature vectors or feature(More)
In video human action recognition of the continual human motion is a difficult point for application. The method of human action recognition based on latent-dynamic condition random fields is presented. By star form distance descriptor of human body contour, human pose is extracted. Then in continuous sequences method building the model of LDCRF shows the(More)
A tone mapping method for high dynamic range image is proposed to prevent the halo artifacts, which is easy to be produced in traditional method based on the Retinex theory in handling high dynamic range(HDR) image. Our method is based on the Retinex theory. The novelties of our method is first to employ a local edge-preserving filter for the estimation of(More)