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Many computer vision tasks, such as video surveillance, motion analysis and object recognition, need accurate object segmentation results. Nevertheless, good segmentation is difficult to be obtained by most state-of-the-art algorithms in non-uniform degraded images. In this paper, we present an efficient object segmentation method to deal with such problem. First, superpixel-based pairwise fuzzy connectedness...
During the process of the soft landing, because of the lunar surface topography, the spacecraft will be subject to the threat of an obstacle and makes the landing fail. Therefore, hazard avoidance and addressing are the key technology for spacecraft soft landing in the lunar surface. In this paper, algorithms are described for vision-based hazard detection, safe site selection and real-time dynamic...
The visual navigation on the lunar surface is a natural way to alleviate the accumulated error raised by the inertial navigation device. However, it is difficult to find distinctive landmarks for effective visual navigation due to the similar and textureless terrains on the lunar surface. In this paper, a novel algorithm is proposed to solve such a problem. Firstly, the local invariant features extract...
A Fuzzy PID fusion controller is designed through continuous updating of its output scaling factor. Instead of using a unitary Fuzzy or PID algorithm, a fusion weighted summation rule bases are used in parallel which improved performance of the proposed fuzzy PID controllers compared to others. Its effectiveness is studied through simulation as well as real-time experimentation in a distributed controller...
This paper is to further explore the information of alarm in substation, and to improve the efficiency and accuracy of association rules. It comes up with a mining method of association rule based on alarm ontology, and builds up a model of it. This method divides the alarm into 6 top concept and 13 bottom concept on the basis of the construction knowledge of ontology, the information generalization...
Objective: To explore composing principles of prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines based on the traditional Chinese medicine inheritance support system (TCMISS). Methods: Prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines were entered into the TCMISS. Composing principles of these prescriptions...
Variable block size motion estimation (VBSME) is a video coding technique which improves video distortion, provides more accurate predictions, reduces video coding data, and increases the utilization of network bandwidth. This paper presents a high-performance VLSI architecture for VBSME which can be applied to the full search block matching algorithm. Our proposed architecture uses pipelined designs...
This paper presents a novel Matching Propagation Framework for addressing the problem of finding better matching pairs between each two images, which is one of the most fundamental tasks in computer vision and pattern recognition. We first select initial seed points by original matching method like SIFT, and then use T-CM to explore more seed points. Finally, a triangle constraint based quasi-dense...
In order to improve energy efficiency in wireless sensor networks (WSNs), an unequal clustering algorithm based on virtual blocks (VBUC) is proposed. Firstly, the monitoring area is divided into several virtual blocks (VBs) in VBUC. According to the principle of energy minimization, the optimal number of cluster heads (CHs) is calculated to control the number and the size of the VB. Secondly, the...
Algorithm SLC is proposed for clustering spatial lines based on connectivity for GML data. At beginning the intersection relations of spatial lines between each other are computed, and then the connectivity of spatial lines is computed by intersection relations, finally spatial lines are clustered by algorithm K-means with a novel similarity measurement method based on the connectivity. The experimental...
In this paper, we explore the segmentation performance of four state-of-the-art unsupervised over-segmentation methods by evaluating the quality of over-segments. To achieve this goal, we design a novel real-time evaluating framework, this method is integrating the classical goodness methods and our proposed new discrepancy method based on real-time boundary extraction, which is able to suppress the...
With the rapid development of social information, the application of distributed database system is increasing. Distributed data mining will play an important role in data mining. As one of the well-known distributed association rules mining algorithm, the FDM algorithm is very fast and efficient, however, the cost of this algorithm is very great because it is designed under the condition of non-shared...
Global based and local based methods are two main aspects of stereo correspondence. Up to now, they both have achieved some significant results but still have their own problems. The global based approach mostly makes the result too smooth to include more details, while the local based method makes the result noisier. This paper proposes a novel method which combines the global and local traits as...
Duplicated web pages responded by search engines not only waste valuable storage, but also aggravate burdens of userspsila browse. Web page de-duplication can effectively improve the information retrieval. This paper proposes pretreatment of web pages to improve the effectiveness and efficiency of web page de-duplication based on feature code according to the principle of data clearing. This paper...
Web page de-duplication module is an important part of search engine system, which can improve its performance and quality with filtering the Web pages downloaded by crawler system of search engine and eliminating the duplicated Web pages. This paper from the source of duplicated Web pages - reshipment proposes a Web page de-duplication method that the information including original Web sites and...
A novel real-coded immune quantum evolutionary algorithm for multi-modal function optimization (MRIQEA) is proposed. By niching methods population is divided into subpopulations automatically, local search is carried by the immune mechanism, each subpopulation can obtain precise solutions, and then the population can maintain all optimal solutions. Because of the quantum evolutionary algorithm with...
In search of good prediction algorithm of thermostable proteins is an important issue. In this paper, a novel prediction algorithm of thermostable proteins by using Hurst exponent and Choquet integral regression model based on lambda-measure and gamma-support is proposed. This method not used before is the first one integrating the physicochemical properties, fractal property and Choquet integral...
A novel immune quantum evolutionary algorithm based on chaotic searching for global optimization (CRIQEA) is proposed. Firstly, by niching methods population is divided into subpopulations automatically. Secondly, by using immune and catastrophe operator each subpopulation can obtain optimal solutions. Because of the quantum evolutionary algorithm with intrinsic parallelism it can maintain quite nicely...
The parallel genetic algorithm (PGA) realizes converging rate greatly as a result of fully displaying the natural parallelism of GA. This paper is just about applying this idea to fuzzy c-mean clustering, introducing immunity density adjustment mechanism, and proposing a new FCM clustering method - IGA-FCM double groups parallel clustering algorithm (another form of PGA). In order to realize the algorithm,...
The support vector machine (SVM) classifier is a popular and appealing classifier .It could be improved by taking some transformation about the original data before classification even sometimes its performance is not good,. In our previous paper, two transformations, NWFE-Transformation and Liu-Transformation are considered. The results showed that the SVM with our Liu-Transformation algorithm has...
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