• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.33-40
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• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.135-140
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• 2009

In this paper, a robot control system with stereoscopic Image was presented. The robot control system has an auto-focusing functionality which measures the distance between robot and object using an infrared sensor. By providing depth and information based on the stereoscopic image, it allows user to have presence and immersion as if he(she) be there. the proposed robot control system's propriety was examined through the comparison experiment with the mono-scopic image.

• Archives of design research
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• v.15 no.4
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• pp.169-176
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• 2002

All kinds of artwork, including multimedia and digital image that has been subliminated into an af mediating two numbers 0 and 1 in recent age, are self-sufficient and autonomous in themselves. Nevertheless, each of those artworks can be realized as a real entity only if its appreciator is capable enough to explore some potential meaning out of it through his or her own perceptual work. According to Mikel Dufrenne, an artwork is composed of three existential tiers: "le sensible" or the sensible material; "fe representation" or the subject(le sujet), and "1′expression." Dufrenne contends that our esthetic perception can be realized by way of three steps that are comparable to those three tiers: perception of the presence of the body("le sensible"), contemplative perception by way of imagination("le representation"), and reflective perception ("1′expression") as a result of dialectics of sense and sensibility. This paper argues on the aesthetic perception with regard to digital image expressed by two numbers 0 and 1, putting focus on the epistemological role of sensibility(감) that explores "1′expression" a la Dufrenne.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.4
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• pp.314-320
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• 2012

This paper proposes a new robust motion deblurring filter using the inertial sensor measurements for strapdown image IR applications. With taking the PSF measurement error into account, the motion blurred image is modeled by the linear uncertain state space equation with the noise corrupted measurement matrix and the stochastic parameter uncertainty. This motivates us to solve the motion deblurring problem based on the recently developed robust least squares estimation theory. In order to suppress the ringing effect on the deblurred image, the robust least squares estimator is slightly modified by adoping the ridge-regression concept. Through the computer simulations using the actual IR scenes, it is demonstrated that the proposed algorithm shows superior and reliable motion deblurring performance even in the presence of time-varying motion artifact.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.45 no.2
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• pp.310-318
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• 1996

It is very important for a mobile robot to estimate its current position With precise information about the current position, the mobile robot can do path-planning or environmental map building successfully. In this paper, a position estimation method using one color image is presented. The mobile robot(K2A) takes an image of a corridor and searches for the door and pillar, which are the given landmarks. The color information is used to distinguish the landmarks. In order to represent the presence of the landmarks, Image Mode is defined. This method adopts Kullback information distance. If a landmark is detected, with the color information, the mobile robot identifies the vertical line of the landmark and its crossing point and an experimental navigation is performed.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.4
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• pp.394-401
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• 1991

B-spline function is generally used for an image interpolation because of its smoothness and continuity, but it accompanies a large amount of blurring effect. In this paper, a space-variant B-spline interpolation function is proposed through deblurring process followed by de-aliasing process. The proposed function has parametric expression and performs smoothing and edge-enhancement adaptively in the interpolation process according to local property of the image. Application of this function to image enlargement, rotation, and curve representation producted good results. Even in the presence of noise, noise smoothing effect as well as edge-enhancement were observed in the image interpolation process.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.79-82
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• 2018

Due to the handheld holding of smartphones and the presence of light leakage and non-balanced contrast, the detection of the retina area in smartphone-captured fundus images is more challenging than retinography-captured fundus images. This paper presents a computationally efficient image processing pipeline in order to detect and enhance the retina area in smartphone-captured fundus images. The developed pipeline consists of five image processing components, namely point spread function parameter estimation, deconvolution, contrast balancing, circular Hough transform, and retina area extraction. The results obtained indicate a typical fundus image captured by a smartphone through a D-EYE lens is processed in 1 second.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1108-1118
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• 2019

Non-local means (NLM) algorithm is an effective and successful denoising method, but it is computationally heavy. To deal with this obstacle, we propose a novel NLM algorithm with fuzzy metric (FM-NLM) for image denoising in this paper. A new feature metric of visual features with fuzzy metric is utilized to measure the similarity between image pixels in the presence of Gaussian noise. Similarity measures of luminance and structure information are calculated using a fuzzy metric. A smooth kernel is constructed with the proposed fuzzy metric instead of the Gaussian weighted L2 norm kernel. The fuzzy metric and smooth kernel computationally simplify the NLM algorithm and avoid the filter parameters. Meanwhile, the proposed FM-NLM using visual structure preferably preserves the original undistorted image structures. The performance of the improved method is visually and quantitatively comparable with or better than that of the current state-of-the-art NLM-based denoising algorithms.

• Korean Parent-Child Health Journal
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• v.15 no.1
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• pp.33-38
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• 2012

Purpose: The family is a primary environment and has pivotal role for child health and development. This study was conducted to identify the relations of family strengths to body image and self-esteem in late school aged children. Methods: Data were collected from 455 children at 5th and 6th grades in four provinces of South Korea using self-report questionnaires for measuring body image, self-esteem, and family strengths. Pearson's correlation analysis and t-test, ANOVA were used to identify the relationships among variables, and compare body image, self-esteem, and family strengths according to general characteristics. Results: Body image, self-esteem and family strengths were significantly different according to economic status and academic performance. Family strengths were also affected by the presence of both parents. Body image, self-esteem and family strengths showed significant positive correlations. Conclusion: The family relations of school aged children are important for child's body image and self-esteem. We recommend that psycho-emotional interventions should be developed for both the children and their parents with low family strengths to improve body image and self-esteem.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.2197-2204
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• 2015

In recent years, medical image diagnosis has growing significant momentous in the medicinal field. Brain and lung image of patient are distorted with salt and pepper noise is caused by moving the head and chest during scanning process of patients. Reconstruction of these images is a most significant field of diagnostic evaluation and is produced clearly through techniques such as linear or non-linear filtering. However, restored images are produced with smaller amount of noise reduction in the presence of huge magnitude of salt and pepper noises. To eliminate the high density of salt and pepper noises from the reproduction of images, a new efficient fuzzy based median filtering algorithm with a moderate elapsed time is proposed in this paper. Reproduction image results show enhanced performance for the proposed algorithm over other available noise reduction filtering techniques in terms of peak signal -to -noise ratio (PSNR), mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), image enhancement factor (IMF) and structural similarity (SSIM) value when tested on different medical images like magnetic resonance imaging (MRI) and computer tomography (CT) scan brain image and CT scan lung image. The introduced algorithm is switching filter that recognize the noise pixels and then corrects them by using median filter with fuzzy two-sided π- membership function for extracting the local information.