• Journal of Information Processing Systems
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• v.13 no.2
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• pp.305-320
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• 2017

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlooks the differences among local speckle patterns of the image. Besides, it is very laborious to find the optimal global subset size of a speckle image. In this paper, a self-adaptive and bidirectional dynamic subset selection (SBDSS) algorithm is proposed to make the subset sizes vary according to their local speckle patterns, which ensures that every subset size is suitable and optimal. The sum of subset intensity variation (${\eta}$) is defined as the assessment criterion to quantify the subset information. Both the threshold and initial guess of subset size in the SBDSS algorithm are self-adaptive to different images. To analyze the performance of the proposed algorithm, both numerical and laboratory experiments were performed. In the numerical experiments, images with different speckle distribution, different deformation and noise were calculated by both the traditional DIC and the proposed algorithm. The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also demonstrate that the proposed algorithm is effective in selecting appropriate subset size for each point.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.3
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• pp.130-139
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• 2013

This paper proposes a new approach for enhancing digital images based on red channel information, which has the most analogous characteristics to invisible infrared rays. Specifically, a red channel in RGB space is used to analyze the image contents and improve the visual quality of the input images but it can cause unexpected problems, such as the over-enhancement of reddish input images. To resolve this problem, inter-channel correlations between the color channels were derived, and the weighting parameters for visually pleasant image fusion were estimated. Applying the parameters resulted in significant brightness as well as improvement in the dark and bright regions. Furthermore, simple contrast and color corrections were used to maintain the original contrast level and color tone. The main advantages of the proposed algorithm are 1) it can improve a given image considerably with a simple inter-channel correlation, 2) it can obtain a similar effect of using an extra infrared image, and 3) it is faster than other algorithms compared without artifacts including halo effects. The experimental results showed that the proposed approach could produce better natural images than the existing enhancement algorithms. Therefore, the proposed scheme can be a useful tool for improving the image quality in consumer imaging devices, such as compact cameras.

• Child Health Nursing Research
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• v.16 no.1
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• pp.41-48
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• 2010

Purpose: The purpose of this study was to examine the relationship of body image, self-esteem, and behavior problems comparing children of short stature and children of normal height, and to enhance growth development through early detection of social or emotional problems in children of short stature. Methods: The data were collected from June 2 to September 25, 2008. The participants were 38 children who were diagnosed with short stature and their mothers and 38 children of age appropriate stature and their mothers selected from 311 elementary students in D city. The participants were matched by using propensity analysis for controlling confounding variables. Sapiro-Wilk test, t-test, Wilcoxon test, and Pearson correlation coefficients with SPSS/WIN 14.0 program were used to analyze the data. Results: There were significant differences in body image and behavior problems between children of short stature and children of age appropriate stature. There was no significant difference in self-esteem between the two groups. Positive correlation was found between body image and self-esteem. In children of age appropriate stature, a negative correlation was found between body image and behavior problems. Conclusion: A specialized program which focuses on behavior problems, body image, and self-esteem should be developed to help children of short stature in school-based settings.

• 한국가시화정보학회:학술대회논문집
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• 2002.11a
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• pp.7-10
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• 2002

A novel two-phase PIV algorithm using a single camera has been proposed, which introduces a method of image-separation into respective phase images, and is applied to freely rising single bubble. Gas bubble, tracer particle and background each have different gray intensity ranges on the same image frame when reflection and dispersion in the phase interface are intrinsically eliminated by optical filters and fluorescent material. Further, the signals of the two phases do not interfere with each other. Gas phase velocities are obtained from the separated bubble image by applying the two-frame PTV. On the other hand, liquid phase velocities are obtained from the tracer particle image by applying the cross-correlation algorithm. Moreover, in order to increase the SNR (signal-to-noise ratio) of the cross-correlation of tracer particle image, image enhancement is employed.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.49-57
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• 2016

In this paper, we propose the novel tracking method which uses the weighted discriminative correlation filter (DCF). We also propose the PSPR instead of conventional PSR as tracker performance evaluation method. The proposed tracking method uses multiple DCF to estimates the target position. In addition, our proposed method reflects more weights on the correlation response of the tracker which is expected to have more performance using PSPR. While existing multi-DCF-based tracker calculates the final correlation response by directly summing correlation responses from each tracker, the proposed method acquires the final correlation response by weighted combining of correlation responses from the selected trackers robust to given environment. Accordingly, the proposed method can provide high performance tracking in various and complex background compared to multi-DCF based tracker. Through a series of tracking experiments for various video data, the presented method showed better performance than a single feature-based tracker and also than a multi-DCF based tracker.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.4
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• pp.251-259
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• 2022

Purpose : This study was conducted to check the effect on nursing college students' major satisfaction, adjustment to college life and nurse's image nursing students before clinical practical education. Methods : The study surveyed 209 college students majoring in nursing science in the city of B for the period of April through May 2022. The collected data were analyzed using SPSS/WIN 22.0 to determine the frequency, percentage ratio, average, and standard deviation. Statistical analyses included the t-test, analysis of variance, pearson's correlation coefficients. Results : As a result of this study, the average degree of satisfaction with majors was 3.88±.50, the average of college life adaptation was 3.26±.47, and the average of the nurse image was 3.90±.51. The major satisfaction according to the general characteristics of the study subjects showed a statistically significant difference in the motive for choosing a department (F=3.70, p=.003) and the thought of a nursing job (F=2.95, p=.004). The adjustment to college life according to the general characteristics of the study subjects showed a statistically significant difference in grade (F=3.50, p=.001), department selection motivation (F=2.69, p=.022) showed a statistically significant difference. The nurse image showed a statistically significant difference in residence type (F=6.00, p=.001) and nursing job thinking (F=2.11, p=.036). The correlation between the variables of the study subjects showed that major satisfaction was found to have a positive correlation with adjustment college life (r=.51, p<.001) and nurse image (r=.54, p<.001). It was found that adjustment college life had a positive correlation with the nurse image (r=.32, p<.001). Conclusion : The higher the degree of satisfaction with the major of nursing students prior to clinical practice education, the higher the degree of adaptation to college life. It is need to intervention studies that can improve the image of positive nursing.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.979-985
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• 2017

This paper, which covers a fluorescence microscopy image of brain tumor cells, looks at drug reactions by treating different types and concentrations of drugs on a plate of $24{\times}16$ wells. Due to the limitation of the field of view, a well was taken into 9 field images, and each has an overlapping area with its neighboring fields. To analyze more precisely, image stitching is needed. The basic method is finding a similar area using normalized cross-correlation (NCC). The problem is that some overlapping areas may not have any duplicated cells that help to find the matching point. In addition, the cell objects have similar sizes and shapes, which makes distinguishing them difficult. To avoid calculating similarity between blank areas and roughly distinguishing different cells, thresholding is added. The thresholding method classifies background and cell objects based on fixed thresholds and finds the location of the first seen cell. After getting its location, NCC is used to find the best correlation point. The results are compared with a simple boundary stitched image. Our proposed method stitches images that are connected in a grid form without collision, selecting the best correlation point among areas that contain overlapping cells and ones without it.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1869-1876
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• 2009

Scanner which is a kind of optical devices is used to convert paper documents into document image files. The assessment of scanned document image is performed to check if there are any modification on document image files in scanning process. In assessment of scanned documents, user checks the degree of skew, noise, folded state and etc This paper proposed to how to measure geometrical modifications of document image in scanning process. In this study, we check the degree of modification in document image file by image processing and we compare the evaluation value which means the degree of modification in each items with OCR success ratio in a document image file. To analyse the correlation between OCR success ratio and the evaluation value which means the degree of modification in each items, we apply Pearson Correlation Coefficient and calculate weight value for each items to score total evaluation value of image modification degrees on a image file. The document image which has high rating score by proposed method also has high OCR success ratio.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.669-672
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• 1998

In this paper, w epropose a fast fractal coding method based on correlation coefficients of subblocks in input image. In the proposed method, domain pool is selected based on correlation analysis of input image and the isometry transform for each block is chosen based on the IFS method. To investigate the performance of the proposed method, we compared image quality and encoding time with full search PIFS method and jacquin's PIFS method. Experimental results show that proposed method yields nearly the same performance in PSNR, and its encoding time is reduced for images size of 512*512 compared with full search PIFS method and jacquin's PIFS method.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.9-11
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• 2005

We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.