Abstract:
PURPOSE: A filtering method for removing the noise of a fluorescence X-ray spectrum is provided to analyze noise properties and to regulate the size of a filter window of a fluorescence X-ray detecting device or a threshold amount according to the analyzed noise properties, thereby improving the accuracy of analyzing the fluorescence X-ray spectrum. CONSTITUTION: A filtering method for removing the noise of a fluorescence X-ray spectrum is as follows. A fluorescence X-ray detector irradiates X-rays to a reference sample for analyzing noise properties of the fluorescence X-ray spectrum, sorts the fluorescence X-ray energy generated from the sample for a predetermined period into a plurality of channels according to an energy level for a predetermined period, and counts the sorted channels, thereby obtaining the fluorescence X-ray spectrum. A standard deviation value of the count numbers of each channel is calculated. A filter for removing noise from the fluorescence X-ray spectrum is selected. At least one between the sizes of a filter window or threshold amount with respect to each of the channel is regulated according to the standard deviation value of the count numbers of each channel. The noise is filtered from the fluorescence X-ray spectrum according to the regulated size of a filter window or threshold amount.
Abstract:
PURPOSE: A method for analyzing noise properties of a fluorescence X-ray spectrum is provided to improve the accuracy of an analysis of the fluorescence X-ray spectrum by analyzing noise properties. CONSTITUTION: A method for analyzing noise properties of a fluorescence X-ray spectrum is as follows. A fluorescence X-ray detector irradiates X-rays to a reference sample in which preset substances are mixed at a preset rate for analyzing noise properties of the fluorescence X-ray spectrum, sorts the fluorescence X-ray energy generated from the sample for a predetermined period into a plurality of channels according to an energy level for a predetermined period, and counts the sorted channels. The process obtaining the fluorescence X-ray spectrum is repeated several times. The number that the fluorescence X-ray energy with respect to each of the channels is actually counted is substituted to a Poisson distribution function so that the probability that an expected count number is observed for the predetermined period is calculated. The standard deviation of the count number is calculated.
Abstract:
PURPOSE: A method for processing a BPC of JPEG2000 is provided to reduce a processing time of the BPS which occupies a lot of parts of a compression time while maintaining the compression performance of image intactly. CONSTITUTION: A frame which is a compression object is divided into a plurality of code blocks having a continuous plurality of coding passes. In process of encoding all of coding passes by turns in each code block, context of each bit is extracted. Among encoding process, many state information is calculated/updated. A context of each bit is extracted in a same time and period from an upper bit plane to lower bit plane.
Abstract:
The present invention relates to a method to divide spectrum sections to apply an interval threshold method even to XRF spectrum data with random properties by dividing the sections of the XRF spectrum using peak size characteristics, and to a method to analyze X-ray fluorescence using the same. The method to divide spectrum sections comprises: a step of reducing spectrum data through down sampling and then differentiating the reduced signal; a step of creating a cumulative graph by accumulating the differentiation results of the reduced signal; a step of detecting section division points using a gradient of the cumulative graph and the gradient rate; and a step of dividing the spectrum data into sections based on the section division points.
Abstract:
PURPOSE: A preprocessing method for minimizing an abnormal value influence of spectrum data is provided to supply a result similar to an original signal by reducing an abnormal value found in a spectrum or other signals and performing preprocessing at a low calculation cost. CONSTITUTION: A difference value between a model and a target signal is obtained by selecting a model for the target signal. A noise and an abnormal value getting out of a predetermined range are removed by applying a median filter to the difference value. A preprocessed signal is restored by combining the processed signal with the model. A preprocessing result is obtained by applying smooth algorithm to the restored signal. [Reference numerals] (1) Obtaining a model of a target signal; (2) Applying a median filter to a difference between the model and the target signal; (3) Applying smooth algorithm by adding the filter applied value and the model
Abstract:
The present invention relates to a method to analyze X-ray fluorescence and a method to remove backgrounds for the same, which accurately and efficiently removes backgrounds included in a spectrum for X-ray fluorescence analysis. A method to divide spectrum sections comprises: a step of creating a cumulative graph by performing multi-resolution analysis on spectrum data, and by collecting and accumulating differences of the analysis results; a step of detecting section division points by considering a gradient of the cumulative graph and the gradient rate; a step of dividing the spectrum data into sections based on the section division points; a step of firstly removing the backgrounds included in the spectrum data by classifying sections, where symbols of the differences of the analysis results are crossed and changes into a peak area, and the remaining sections into a background area; and a step of estimating the remaining background in the peak area and secondly removing backgrounds by fitting a beginning point and an end point of the peak area through a linear function or an exponential function.