Applied Mechanics and Materials Vols. 644-650

Abstract: Image registration is the key process in analyzing images and data from satellites. Feature-based methods find correspondence pixels which point to the same place between two images. In this paper, a wavelet pyramid hierarchical image registration algorithm is presented. First mismatching exclusion policy on the top of pyramid is used. Other hand search strategy which gets the scope of the search layer on the bottom of the pyramid is adopted. Both of them rely on pair of matching-right points. Experimental results show that the algorithm can significantly improve the search efficiency, and obtain a good match accuracy and reliability.

Abstract: The dynamic target echo intermediate-frequency signal source can be used to detecting and repairing receiving system, signal processing system, display system of conventional radar. The output frequency which conducted by the signal source can be adjusted. The range of output signal frequency basically covers different types of radar, which has important practical application value on the maintenance of radar. The dynamic target echo intermediate-frequency signal source is make up of source processing unit, intermediate-frequency unit, monitoring unit, the time reference source, input and output driver board and power supply pulse generation. Pulse processing unit in the signal source is in the core status.

Abstract: At present, take a taxi difficult has drawn people’s attention and become the problems to be solved in china. In this paper, a new solution of taxi calling is proposed, after the detailed analysis to the advantages and disadvantages of various calling modes. This solution can change the traditional mode of “taxi looking for people” and “people looking for taxi” to “taxi waiting for people” and “people waiting for taxi”, and sequentially improve the actual load rate of taxi and the satisfaction of passenger.

Abstract: We propose a practical image retrieval scheme to retrieve images efficiently. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Gray Level Co-occurrence matrix to compare the images of database. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues of both the content based image retrieval system and a text based image retrieval system. Experimental results reveal that proposed scheme is better than the conventional methodologies.

Abstract: Image matching plays an important role in computer vision. The features extracted by SIFT algorithm have high stability invariant to scale, rotation and light, so it is the most popular algorithm for image matching. While SIFT algorithm also has its disadvantages of high dimensional data and time-consuming. To solve this problem, the traditional method employs PCA algorithm to reduce dimensionality of the descriptors. While PCA is a linear dimensionality reduction algorithm which means that it can only be used for linear distributed data. This paper employs the fuzzy K-means algorithm to improve it (referred to as FKPCA) and improved RANSAC algorithm to eliminate false matching points after matching with PCA-SIFT and FKPCA-SIFT. From the experimental results, compared with PCA-SIFT algorithm, it can be seen that FKPCA-SIFT can keep the high matching accuracy for image. Moreover, FKPCA-SIFT can also be applied to non-linear data to expand the scope of PCA-SIFT and provides a better reference platform for further research.

Abstract: The diversity gains of amplify-and-forward (AF) relay system with frequency selective channels are discussed. The orthogonal frequency division multiplexing (OFDM) is applied to overcome the inter-symbol interference. The diversity gains are presented for single and multiple relay systems with detailed derivations.

Abstract: According to the characteristics of the liver image and the shortcomings of the traditional region growing algorithm, a modified region growing algorithm is proposed based on the adaptive anisotropic filtering. The first, a anisotropic filtering algorithm is proposed based on adaptive anisotropic filtering and we make images noise reduction through it. Second, we studied a method which can select seeds automatically, then the parameters which are in the region growing algorithm will be obtained through Otsu. These innovations and improvements enable segmentation algorithm automatic, fast, accurate. Experiments show that, the algorithm that this article proposed the region growing based on adaptive image segmentation of the liver, the result is better than the traditional region growing algorithm.

Abstract: This paper presents a new algorithm of image matching via combining sift and shape context for improving image matching accuracy. A joint descriptor is applied to describe feature points. The initial matching is obtained by a proposed distance formula. Furthermore, PLS is introduced to eliminate mismatched points. Experimental results demonstrate the proposed algorithm can achieve better performance compared to conventional methods.

Abstract: In order to solve the problem of the conventional methods operated directly in the image, difficult to obtain good results because they are poor in high dimension performance. In this paper, a new method was proposed, which use the Least Squares Support Vector Machines in image segmentation. Furthermore, the parameters of kernel functions are also be optimized by Particle Swarm Optimization (PSO) algorithm. The practical application in various of standard data sets and color image segmentation experiment. The results show that, LS-SVM can use a variety of features in image, the experiments have achieved good results of image segmentation, and the time needed for segmentation is greatly reduced than standard SVM.

Abstract: People are very familiar to the image. Image can be obtained by optical instrument observation of the objective world or image in the eyes of people of objective scenery in the human visual system. With the development of computer technology, digital image technology has been widely used in scientific research, industrial, health care, education, entertainment and communication. Therefore, the research of image technology has vital significance. This article mainly research image segmentation and image restoration based on variational method. Image segmentation is to divide the image into some meaningful area, is the foundation of subsequent target recognition and image understanding.