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Superpixel segmentation is popularly used as a preprocessing in image segmentation and object recognition. However, none of effective superpixel segmentation algorithms have been proposed to highlight the contour features of the salient object in image, and they are difficult to describe the irregular superpixel boundaries. That will make a bad impact on subsequent image processing. In this paper,...
Due to the influence of both background interference and time-varying position, it is difficult to detect the moving object by computer vision in the complex background environment. This paper novelly builds a topological structure of typical features to detect object. The presented method can effectively detect the object which is scaling, rotating or in affine transformation, because of the using...
During a design procedure of association rule mining approach, there are two common issues: the transformation method from continuous quantitative attributes to qualitative concepts, and efficiency of data mining. In order to acquire association rules in a database with different types of attributes, the cloud transformation which is included in the cloud model theoretical framework is applied as...
According to the conceptualization habit of human cognition and perceiving characteristics of the human eyesight, a novel high-dimensional data visualization method, which combined uncertain concepts extraction methods and visualization techniques, is proposed in this paper. The technical framework of generating a concept color spectrum diagram of a high-dimension data record is presented. The cloud...
In the complex natural background, the image features of spatial dynamic objects usually change severely, so target recognition method based on single feature could not adapt to the recognition requirements. Due to unpredictable changes of target distance, finding real-time solution of image Jacobi matrix is more difficult, so as achieving active visual servo of spatial dynamic target. Inspired by...
The design process of parallel manipulators is very difficult because it needs to solve problems such as more constraint variables, complex interference situations and long design periods and so on. This paper proposes a bacterial foraging optimization algorithm based on dynamic piecewise variable step size to optimize structural parameters. The workspace volume of the parallel manipulator is obtained...
Based on the feature of CCD image forming, the internal principle of image forming is analyzed, and the loss of charge transfer is calculated by the Shockley - Read - Hall equation, in which the distribution function between the charge transfer is reconstructed. Rational polynomial interpolation algorithm is used to determine the unknown pixel points for the adjacent pixels that do not overcome the...
The paper presents a flame recognition algorithm under complex background. The light changes are mainly studied on the impact of the flame recognition system. An adaptive brightness threshold method which aimed at improving the speed and efficiency of the algorithm is proposed. The static and dynamic flame features are analyzed and the probability model of the flame detection is established based...
Large amount of multivariate data in many areas of science raises the problem of data analysis and visualization. Focusing on high dimensional and nonlinear data analysis, an improved manifold learning algorithm is introduced, then a new approach is proposed by combining adaptive local linear embedding (ALLE) and recursively applying normalized cut algorithm (RANCA). A novel adaptive local linear...
Based on binocular stereo vision sensor measurement model, a kind of low cost single rotating angle indexing camera method used to measure distance of a remote object was presented in this paper. A single camera was mounted on a rotating platform, which was driven by a step motor or equipped with an angle encoder, so that the rotating angle of camera could be indexed. Two parallax images which projected...
A technique for optimal trajectory planning of robot manipulators is presented. It consists of linking two points in the operational space while minimizing a cost function, taking into account dynamic equations of motion as well as bounds on joint velocities, accelerations, jerks and force/torques. We choose the cost function as a weighted balance of traveling time and mechanical energy of the actuators...
In order to realize visual servoing for robot manipulators, the robust and accurate estimation of a target object pose must be achieved. The pose estimation is achieved by a three-dimensional registration method. This paper presents this novel method for the registration of the rotated and translated part according to its camera images and three-dimensional model. The spatial registration parameters...
Owing to the demanding processing accuracy and speed for image registration in industrial application, an approach to image registration based on Pseudo-Polar Fast Fourier Transform (PPFFT) and Small World Clonal Selection Algorithm (SWCSA) is introduced. We propose a three-step procedure. Firstly, PPFFT is performed to the image. Then, by using the magnitude of PPFFT, a cost function is designed...
In this study, a novel iterative optimization clustering algorithm is proposed by using a manifold distance based dissimilarity metric which can measure the geodesic distance along the manifold and a criterion function which can express the clustering target, that is the samples in the same cluster being somehow more similar than samples in different one. The steps of the algorithm are discussed in...
Analysis of large amount of data is needed in many areas of science, and this depends on dimensionality reduction of the multivariate data. Local linear embedding (LLE) is efficient for many nonlinear dimension reduction problems because of its low computation complexity and high efficiency, however LLE often leads to invalidation in the event that the data is sparse or noise contaminated. In order...
Though clone selection algorithm has been used successfully in many instances of optimizations, there is still difficultness when solving much complicated problems. Using prior knowledge of problems themselves leads a feasible approach. In this paper, two operators, named clonal adjust operator and immunodominance operator are designed based on clonal mechanisms and prior knowledge. With these, an...
In this paper, a mutation with cycle probability is designed by simulating the evolutionary rule of the earth creature, and a genetic algorithm based on the cycle mutation, presents the ability in improving search efficiency and overcoming premature to some extent. To further improve performance of the algorithm, the selection is mended according to the phenomena that optimum individual always plays...
To solve the problem of on-line dynamic planning of mobile robots in unknown environments, inspired by the mechanism of idiotypic network hypothesis, a hybrid immune network algorithm (HINA) is proposed. To improve the planning efficiency of immune network algorithm (INA) and realize optimal on-line dynamic obstacle avoidance, a new adaptive artificial potential field (AAPF) method is presented by...
To solve the fuzzy edge detection problems in image processing, a novel fuzzy clustering method based on chaos small-world algorithm (CSWFCM) is presented. The traditional fuzzy clustering method (FCM) is good at local searching capability, but it is sensitive to the initial value and easy to trap into local minimum value. The small-world algorithm (SWA), inspired by the mechanism of small-world phenomenon,...
This paper presents a novel approach, depending on the threshold and clustering probability, to generalize small-world phenomenon to image edge detection and segmentation. It begins with computing the optimal threshold, based on global image features. Then, the algorithm iterates two steps. 1) The small-world effect. Searching the pixel with sudden changes of an image attribute such as luminance from...
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