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In this paper, we will present a novel algorithm for detecting moving objects from relatively dynamic background in particular video sequences. To achieve our goal, we introduced a new conception called "feature super pixel". As is well known, by tracking feature points we can easily tell whether a feature point belongs to moving object or not. However, it's more difficult to obtain an optimal...
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...
Aimed at solving the deficiencies of having great computation and local optimum, a chaos particle swarm optimization algorithm which has the properties of ergodicity, randomicity and regularity is proposed to solve the optimization problems cited from pattern recognition, and a new method of image segmentation using two-dimensional histogram based on Fisher criterion function is put forward. According...
A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. Developing a sign language recognition system will help the hearing impaired to communicate...
The paper presents a new algorithm using curve moment invariants to recognize partially occluded objects in an image. A database is initially built to store the information of a variety of objects after calculating their features represented by curve moment invariants. The images are described by series of corresponding curve moment invariants of the objects as their descriptors. Accordingly, the...
This paper proposes a fuzzy hypergraph model (FHM) for image representation. This model uses both local and globe information of images rely on location space and color space respectively. And by using hypergraph, this model could represent the complex relationships between more than two pixels instead of simple graph which only represent pairwise relationships. This paper uses a semi-supervised learning...
A method for the segmentation of synthetic aperture radar (SAR) image is presented in this paper. The method integrates the use of multi-scale technology, mixed-model information and support vector machines (SVM). First, the multi-scale autoregressive (MAR) model is modeled for multi-scale sequence of SAR image, and a multi-scale features, which is used as input of SVM, are extracted via the MAR model...
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