Abstract: An efficient watershed algorithm is proposed in order to solve the problem that touching rice is difficult to process during consequent image segmentation. First, the binary image is ultra-eroded by using a different structuring element to form different distance image. Second, watershed image is obtained by using the watershed algorithm. Finally, the real watershed can be extracted. Compared with other watershed algorithms, the experiment results demonstrated that this method segmented out rice successfully in the touching rice image and improved the measurement accuracy, and also overcome over-segmentation effectively.
Abstract: To measure the sub-pixel image motion of the sequence images which are captured by the high-speed camera at the high frame rate with poor SNR, the joint transform correlator (JTC) is used. The relative image motion of the two adjacent images can be measured by inputting these images into the correlator. The principle of this method is described, and the effect of the defocussing of the CCD in the JTC on the accuracy is analyzed. To research the measurement performance of the JTC concretely, the experiment platform is set up. By using different images with different image motion, the results showed that, the JTC can measure the sub-pixel image motion entirely even for the images with SNR=1, and the measurement error submits to the normal distribution, which implies zero mean and the RMS is no more than 0.12 pixel under the conspicuous level is equal to 0.05.
Abstract: . Fe3O4 nanoparticles were synthesized and doped into two glass systems (Na2O-B2O3 glass and PbO-Bi2O3-B2O3-GeO2 glasses) at low concentrations using traditional glass melting method. The formation of Fe3O4 nanoparticles was obtained through coprecipitation of Fe(II) and Fe(III) in alkaline media.The size of the Fe3O4 nanoparticles was observed to be around 15 nm. The structure and properties of doped glasses were studied by X-ray diffraction (XRD), scanning electric microscope (SEM), UV-VIS spectray, FT-IR spectray analysis and Faraday rotation test. Compared to the host glass, Fe3O4 nanoparticles doped glasses shown enhanced Faraday Effect in term of Verdet constant and will have potential application in magneto-optical devices.
Abstract: With the aim to remove the unwanted feature points, template matching algorithm which includes pixel-coherence and fixed structure is proposed in this paper. Corner detection algorithm can extract image feature points with the flexibility for illumination variation and affine transformation. This paper gets the special points of plane image by corner detection algorithm and proposes the problem of existing more useless point. Then, template matching algorithm is used to solve the issue and collects the best match points. Finally, the paper compares the template image and the matched image. The experimental results prove that the feature points by template matching algorithm have excellent accurate characteristic for the illumination, transfer and the rotation transform, and they are highly satisfactory.
Abstract: Many methods have been developed to remove image noises with wavelet. Here, the combination of those methods is considered to construct a new method that covers more aspects of the problem. Data fusion is chosen for such combination. With two classic existent methods as an example, a data-fusion based wavelet image denoising method is proposed. Experiment results show that the new method can provide better denoising performance thus suggests the potential of such a strategy.
Abstract: Through analysis of the current version of relationship models, the paper presents the short points of them and develops a new PDM multi-version management model based on the theory of polychromatic sets with the concept and method of the theory introduced. This new PDM multi-version management model uses the element of polychromatic sets to represent the version of a document, a uniform color to represent the integrated attribute of object, and individual color to represent the property information of an object version respectively. Considering adjacent versions have too many identical contents, this new model introduces a method on difference information to reduce the storage space of multi-versions. Finally, the arithmetic operators of the version management model of PDM were presented through a related case.
Abstract: Grinding is a widely used manufacturing method in state of art industry. By realizing needs of manufacturers, grinding parameters must be carefully selected in order to maintain an optimum point for sustainable process. Surface roughness is generally accepted as an important indicator for grinding parameters. In this study, effects of grinding parameters to surface roughness were experimentally and statistically investigated. A complete factorial experimental flow was designed for three level and three variable. 62 HRC AISI 8620 cementation steel was used in grinding process with 95-96% Al2O3 grinding wheel. Surface roughness values (Ra, Rz) were measured at the end of process by using depth of cut, feed rate and workpiece speed as input parameters. Experimental results were used for modeling surface roughness values with linear, quadric and logarithmic regressions by the help of MINITAB 14 and SPSS 16 software. The best results according to comparison of models considering determination coefficient were achieved with quadric regression model (84.6% for Ra and 89% for Rz). As a result, a reliable model was developed in grinding process which is a highly complex machining operation and depth of cut was determined as the most effective parameter on grinding by variance analysis (ANOVA). Obtained theoretical and practical acquisitions can be used in various areas of manufacturing sector in the future.
Abstract: An improved gain principle component analysis(PCA) algorithm is proposed for detecting the small deviation fault of the inertial sensor data. During calculating process of the Q and statistics, different gains are set to improve the small deviation fault detecting capability of some important variables. And the filtering technology is applied to reduce the noise of the sample data and emerge the misjudgment phenomenon. Numeric example result shows that the proposed algorithm can achieve fault diagnosis effectively compared with the conventional PCA algorithm.
Abstract: To investigate the optical performance of vertical single-axis tracked solar panels with the tilt-angle of solar panels being seasonally adjusted (4T-V-A tracked solar panels, in short) as compared with fixed and full 2-axis tracked solar panels, a mathematical procedure to estimate the daily collectible radiation on fixed and tracked panels is suggested based on the monthly horizontal radiation. Calculation results showed that the optimal date on which tilt-angle adjustments were seasonally made was about 23 days from the equinoxes, the seasonal optimal tilt-angles of a 4T-V-A tracked solar panel for maximizing seasonal energy collection strongly depended on site latitudes, and the corresponding maximum annual collectible radiation on such tracked panel was about 97% of solar radiation annually collected by a dual-axis tracked panel, slightly higher than that on those tracking the sun about south-north axis inclined at a yearly fixed tilt-angle from the horizon. Empirical correlations for a quick estimation of seasonal optimal tilt-angle of vertical single-axis tracked solar panels were also proposed based on climatic data of 32 sites in China.