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A new and efficient method for casts recognition in urinary sediment microscopic images is proposed in this paper. It combines the shape and texture characteristics of casts, and accordingly, consists of two steps. In the first step, the casts' tube-like shape feature is expressed by a modified method stems from the traditional one which is based on the minimum bounding rectangle(MBR). Instead of...
Singular value decomposition technique is widely employed in feature analysis due to its strong capability of feature expression. Aiming at detection of fabric defects, this paper gives an approach for the fabric defects extraction in an image based on the theories of singular value decomposition, and proposes the corresponding algorithm. Firstly, singular value decomposition is performed on sub-image...
The problem of highlight detection and recognition in soccer video has been a hot research topic in many fields, such as image processing, pattern recognition, and machine learning. This paper puts forward a novel algorithm to detect soccer highlights, which is made up of three phases. In the first stage, slow motion replay segments are located through the analysis of visual rhythm and the structure...
On the basis of grey prediction theory, a new method of image edge detection is put forward. First, the method of edge detection based on grey GM(1,1) prediction model and its realizing principles of this method are discussed, and the image edges can be detected from eight directions by means of this method. Moreover, the corresponding simulation experiment is implemented and its ability of edge detection...
We propose a multi-resolution integrated model for the segmentation of soft-tissue organs called MISTO. The model is constructed hierarchically to represent the most significant deformations from the training set as well as to generate representative deformation modes of the organ shapes. The clutter surrounding of the surface points are formulated in terms of an external functional which is also...
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