Advanced Materials Research Vols. 546-547

Abstract: The quantization error is one of errors in 3D measuring, the method of amending the quantization errors includes directly fitting method and edge extraction method. Analyzed the source of quantization errors and the principle to amend the quantization errors, and analyzed the simulation test of directly fitting method and edge extraction method, and compared them with each other.

Abstract: ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the spectrum of foreign body" and "synonyms spectrum" than unsupervised classification method, and optimize classification images, improved information extraction accuracy. The application shows the classification result is consistent with the actual situation and it laid the foundation for land to have the rational planning and use.

Abstract: Faint signal extraction is always a difficult issue in biomedical signal processing field, because the desired signal is often submerged in several relatively large signals or noises. A novel faint signal processing method based on Empirical Mode Decomposition (EMD) and Independent Component Analysis (ICA) is developed to enhance the sensitivity and reliability of faint signal detection. This novel method includes two major steps, which is, firstly the decomposition of the biomedical composite signal using EMD, then the classification or extraction of the desired faint signal component through ICA. This paper explored the working principles and the performance of this novel signal processing method under the specific biomedical environment of fetal electrocardiogram extraction (FECG). The experimental results show that the proposed method has better extraction effect and quality compared with traditional ICA methods.

Abstract: To segment complex texture natural environment images; the first, the texture features of natural images should be analysed and the texture features should be extracted; The second, texture images segmengtation can be achieved by using Mumford-Shah active contour model, this segmentation model can better process fuzzy, default boundary, and this model can be solved by level set method. This method can express well complex texture signal features of natural images. Through making texture segmentation experiment for standard texture synthesis image and natural environmental image, its results show that the texture segmentation based on Mumford-Shah active contour model can segment natural images.

Abstract: In this paper, a target identification method is proposed based on kinematics characteristics for single-ship air-defense. After seriously analyzing the characteristics of modern air strike targets, extracting methods of the features of height, velocity, acceleration, detection distance, continuous radial motion etc. is given. Then, three-layer identification structure is established: layer 1 can identify tactical ballistic missile (TBM) and armed helicopter (AH) according to height, velocity; layer 2 can identify anti-radiation missile (ARM) and precision guided bomb (PGB) according to the features of horizontal continuous decelerated motion and continuous radial motion; layer 3 combines Fuzzy set and DS evidence theory to identify anti-ship missile (ASM) and bomb-attacker (BA) according to the features of height and detection distance. Verified by environment of typical targets, this method proposed in this paper has fine effect of identification.

Abstract: To resolve the problems of the image quality assessment issue and the algorithm adaptability for different image size and deformation, this paper proposes a image quality assessment algorithm based on Invariant Moments Similarity. Firstly, Hu invariant moments values of original image and evaluated image are computed. Secondly the invariant moments distance is completed between original image and evaluated image. At last, the method assess the restoration image quality depend on the invariant moment distance. The experimental result shows that the algorithm result is better than MSE, PSNR, SSIM for the same-size images. And the algorithm based on invariant moment similarity can evaluate different image-size and deformation images with low computing-complexity. The assessment experimental result for difference actual images certifies the algorithm effectiveness.

Abstract: The advantages of barycentric interpolation formulations in computation are small number of floating points operations and good numerical stability. Adding a new data pair, the barycentric interpolation formula don’t require to renew computation of all basis functions. Thiele-type continued fractions interpolation and Newton interpolation may be the favoured nonlinear and linear interpolation. A new kind of trivariate blending rational interpolants were constructed by combining barycentric interpolation, Thiele continued fractions and Newton interpolation. We discussed the interpolation theorem, dual interpolation, no poles of the property and error estimation.

Abstract: In the highly competitive market, to meet consumer’s need is a critical factor for product success. So, acceptability evaluation and prediction is important in product development. This study developed an intelligent model to evaluate and predict consumer acceptability. The model used IG as ranking method to rank the features of importance firstly. In addition, it employed the Bayesian Network (BN) and Radial Basis Function (RBF) Networks and their ensembles to build a prediction model. To demonstrate applicability of the proposed model, we adopted a real case, mp3 evaluation, to show that the consumer acceptability problem can be easily evaluated and predicted using the proposed model. The results show that ensemble classifiers are more accurate than a single classifier. This ensemble model not only helps manufacturer in evaluating the importance of product features but also predicting consumer acceptability.

Abstract: Based on barcode PDF417 image’s characteristics, in order to improve the recognition of bar code, and reduce the bit error ratio, we proposed two methods. One way is to separate the calculation of the width of barcode’s unit from the extract codeword, another is the Recognition of bar blank sequence by using projection algorithm. Thereby, both methods reduce the impact of blurred images made by noisy pollution; the test proved that these two methods can deal with contaminated barcode image effectively.

Abstract: This paper achieves information-capture of joint-point by analyzing Java program with AspectJ. This information includes: method call, parameter values passed in method call, method call target and captured value of reference “this” when method is executed.