Search Word(s) in Title, Keywords, Authors, and Abstract: Interpolation

A Study on an Automatic Multi-Focus System for Cell Observation
Jaeyoung Park and Sangjoon Lee
Page: 47~54, Vol. 15, No.1, 2019
10.3745/JIPS.04.0099
Keywords: Automatic Multi-Focus, Cell Observation, Cubic Spline Interpolation, Peak Detection
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This study is concerned with the mechanism and structure of an optical microscope and an automatic multifocus algorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cell images quickly, a z-axis actuator with a resolution of 0.1 ?m was designed to control an optical microscope Moreover, a lighting control system was constructed to select the color and brightness of light that best suit the object being viewed. Cell images are captured by the instrument and the sharpness of each image is determined using Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are applied to automatically find the most vivid points among multiple images of a single object. A cancer cell imaging experiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained using this microscope. The proposed system is expected to save time and effort required to extract suitable cell images and increase the convenience of cell analysis.


Spatial Interpolation of Meteorologic Variables in Vietnam using the Kriging Method
Xuan Thanh Nguyen, Ba Tung Nguyen, Khac Phong Do, Quang Hung Bui, Thi Nhat Thanh Nguyen, Van Quynh Vuong and Thanh Ha Le
Page: 134~147, Vol. 11, No.1, 2015
10.3745/JIPS.02.0016
Keywords: Interpolation, Meteorologic Variables, Kriging
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This paper presents the applications of Kriging spatial interpolation methods for meteorologic variables, including temperature and relative humidity, in regions of Vietnam. Three types of interpolation methods are used, which are as follows: Ordinary Kriging, Universal Kriging, and Universal Kriging plus Digital Elevation model correction. The input meteorologic data was collected from 98 ground weather stations throughout Vietnam and the outputs were interpolated temperature and relative humidity gridded fields, along with their error maps. The experimental results showed that Universal Kriging plus the digital elevation model correction method outperformed the two other methods when applied to temperature. The interpolation effectiveness of Ordinary Kriging and Universal Kriging were almost the same when applied to both temperature and relative humidity.


Spatial Interpolation and Assimilation Methods for Satellite and Ground Meteorological Data in Vietnam
Khac Phong Do, Ba Tung Nguyen, Xuan Thanh Nguyen, Quang Hung Bui, Nguyen Le Tran, Thi Nhat Thanh Nguyen, Van Quynh Vuong, Huy Lai Nguyen and Thanh Ha Le
Page: 556~572, Vol. 11, No.4, 2015
10.3745/JIPS.02.0030
Keywords: Assimilation, Interpolation, Meteorological Variables, Kriging, Vietnam
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This paper presents the applications of spatial interpolation and assimilation methods for satellite and ground meteorological data, including temperature, relative humidity, and precipitation in regions of Vietnam. In this work, Universal Kriging is used for spatially interpolating ground data and its interpolated results are assimilated with corresponding satellite data to anticipate better gridded data. The input meteorological data was collected from 98 ground weather stations located all over Vietnam; whereas, the satellite data consists of the MODIS Atmospheric Profiles product (MOD07), the ASTER Global Digital Elevation Map (ASTER DEM), and the Tropical Rainfall Measuring Mission (TRMM) in six years. The outputs are gridded fields of temperature, relative humidity, and precipitation. The empirical results were evaluated by using the Root mean square error (RMSE) and the mean percent error (MPE), which illustrate that Universal Kriging interpolation obtains higher accuracy than other forms of Kriging; whereas, the assimilation for precipitation gradually reduces RMSE and significantly MPE. It also reveals that the accuracy of temperature and humidity when employing assimilation that is not significantly improved because of low MODIS retrieval due to cloud contamination.


The Design of the IIR Differintegrator and its Application in Edge Detection
Madhu Jain, Maneesha Gupta and N. K. Jain
Page: 223~239, Vol. 10, No.2, 2014
10.3745/JIPS.02.0001
Keywords: Digital integrator, digital differentiator, edge detection and image processing
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New IIR digital differintegrators (differentiator and integrator) with very minor absolute relative errors are presented in this paper. The digital integrator is designed by interpolating some of the existing integrators. The optimum value of the interpolation ratio is obtained through linear programming optimization. Subsequently, by modifying the transfer function of the proposed integrator appropriately, new digital differentiator is obtained. Simulation results demonstrate that the proposed differintegrator are a more accurate approximation of ideal ones, than the existing differintegrators. Furthermore, the proposed differentiator has been tested in an image processing application. Edges characterize boundaries and are, therefore, a problem of fundamental importance in image processing. For comparison purpose Prewitt, Sobel, Roberts, Canny, Laplacian of Gaussian (LOG), Zerocross operators were used and their results are displayed. The results of edge detection by some of the existing differentiators are also provided. The simulation results have shown the superiority of the proposed approach over existing ones.


Imputation of Medical Data Using Subspace Condition Order Degree Polynomials
Klaokanlaya Silachan and Panjai Tantatsanawong
Page: 395~411, Vol. 10, No.3, 2014
10.3745/JIPS.04.0007
Keywords: Imputation, Personal Temporal Data, Polynomial Interpolation
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Temporal medical data is often collected during patient treatments that require personal analysis. Each observation recorded in the temporal medical data is associated with measurements and time treatments. A major problem in the analysis of temporal medical data are the missing values that are caused, for example, by patients dropping out of a study before completion. Therefore, the imputation of missing data is an important step during pre-processing and can provide useful information before the data is mined. For each patient and each variable, this imputation replaces the missing data with a value drawn from an estimated distribution of that variable. In this paper, we propose a new method, called Newton’s finite divided difference polynomial interpolation with condition order degree, for dealing with missing values in temporal medical data related to obesity. We compared the new imputation method with three existing subspace estimation techniques, including the k-nearest neighbor, local least squares, and natural cubic spline approaches. The performance of each approach was then evaluated by using the normalized root mean square error and the statistically significant test results. The experimental results have demonstrated that the proposed method provides the best fit with the smallest error and is more accurate than the other methods.


Scenario-based 3D Objects Synthesizing System Design
Ji-Seung Nam, Hui Gao, Mi-Young Kang, Kyoung-Tae Kim, Seung-Chul Son, Chung-Ung Pom and Kwon Heo
Page: 18~22, Vol. 2, No.1, 2006
None
Keywords: 3D Editing, 3D Synthesizing, 3D Object Reuse
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This paper proposes the framework of the scenario-based 3D image synthesizing system that allows common users who envision a scenario in their mind to realize it into the segments of cool animation. We focused on utilization of the existing motions to synthesize new motions for the objects. The framework is useful to build a 3D animation in game programming with a limited set of 3D objects. We also propose a practical algorithm to reuse and expand the objects. This algorithm is based on motion path modification rules. Both linear and nonlinear curve-fitting algorithms were applied to modify an animation by key frame interpolation and to make the motion appear realistic.


Design of an Image Interpolator for Low Computation Complexity
Young-Hyun Jun, Jong-Ho Yun, Jin-Sung Park and Myung-Ryul Choi
Page: 153~158, Vol. 2, No.3, 2006
None
Keywords: Interpolation, Interpolator, Cubic convolution , Linear function
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In this paper, we propose an image interpolator for low computational complexity. The proposed image interpolator supports the image scaling using a modified cubic convolution interpolation between the input and output resolutions for a full screen display. In order to reduce the computational complexity, we use the difference in value of the adjacent pixels for selecting interpolation methods and linear function of the cubic convolution. The proposed image interpolator is compared with the conventional one for the computational complexity and image quality. The proposed image interpolator has been designed and verified by Verilog HDL(Hardware Description Language). It has been synthesized using the Xilinx VirtexE FPGA, and implemented using an FPGA-based prototype board.