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A novel method is proposed for the classification of epithelial cells and clue cells in wet mount microscopic images of vaginal secretions. Generally, there are many complicated ingredients in these images, and different from the gram stain method, no color information can be used. Obviously, the texture information of these cells becomes the main feature in the classification of these ingredients...
To make use of information contained in the null space of withinclass during the implementation of discriminant locality preserving projection(DLPP), a very efficient feature extraction algorithm called two-dimensional direct discriminant LPP (2D-DDLPP) algorithm is proposed for face recognition in this paper. By modifying the simultaneous diagonalization procedure, the null space of the interclass...
In this paper, SIFT algorithm is combined with AdaBoost algorithm, and a method of feature matching based on multi-pose face is put forward. Firstly, the face region is extracted from multi-pose face images by AdaBoost. Secondly, SIFT characteristic vectors of the main regions are matched. The images of the ORL face DB are used in this paper, and some pictures taken in the experiment are used too...
Based on the shape of landscape, a practical algorithm for detecting human face is put forward. This method takes a human face as a special kind of landscape, so digital elevation models (DEM) could be employed to detect candidate human faces. We first extract features of human faces by means of three kind of curvatures of faces (general Gaussian curvature, section curvatures and tangent curvatures)...
An automatic extraction method of container identity codes based on mathematical morphology operation, region analysis and projection transformation is proposed. With different kinds of noises on the image, the container code can hardly be extracted precisely. To decrease the influence the noise and detect the code coarsely the image is filtered by mathematical morphological operators. Then, closed...
A general and efficient face feature extraction approach is presented which utilizes principle discriminant information of human faces. In order to get rid of redundant information and meanwhile reduce computational burden, we first compute the nonzero feature space of training set scatter matrix, and then perform a global search on it to seek out the most valuable discriminant information of faces...
When algorithms extracting and recognizing characters from text image is devised, the time loss and recognizing quality are two of the most important properties taken into account. To achieve high recognition performance in both of them, we provide a simple but rapid and efficient method to extract character features, and then a structure called hierarchical radial basis function (RBF) neural networks...
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