• Archives of Reconstructive Microsurgery
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• v.9 no.1
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• pp.75-79
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• 2000

The foot plays a vital role in standing and gait. This function results from harmonious interaction of bones, joints, and soft tissue. An imbalance or a defect in such structures can lead to impaired function of the foot. The mid foot, composed of cunieforms, navicular and cuboid bone, plays a vital role in maintaining longitudinal and transverse arches and injury or defects to this region can cause instability of the foot. This paper reports a case of complex foot injury; soft tissue defect of dorsum of foot, and medial and intermediate cuneiform bone defect, reconstructed in a single stage using vascularized osteocutaneous fibular free flap. Segmented to fit the defects of medial and intermediate cuneiform bones and a skin paddle providing adequate coverage, restored the stability to the arches and function of the midfoot. The fibula osteocutaneous free flap has appealing characteristics for reconstruction of the foot and the complex mid foot injuries can be considered to the long list of indications.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.376-382
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• 2010

We propose a novel method to precisely detect car license plates by locating main characters, which are printed with large font size. The regions of the main characters are directly detected without detecting the plate region boundaries, so that license regions can be detected more precisely than by other existing methods. To generate a binary image, multiple thresholds are applied, and segmented regions are selected from multiple binarized images by a criterion of size and compactness. We do not employ any character matching methods, so that many candidates for main character groups are detected; thus, we use a neural network to reject non-main character groups from the candidates. The relation of the character regions and the intensity statistics are used as the input to the neural network for classification. The detection performance has been investigated on real images captured under various illumination conditions for 1000 vehicles. 980 plates were correctly detected, and almost all non-detected plates were so stained that their characters could not be isolated for character recognition. In addition, the processing time is fast enough for a commercial automatic license plate recognition system. Therefore, the proposed method can be used for recognition systems with high performance and fast processing.

• Journal of Families and Better Life
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• v.25 no.1 s.85
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• pp.209-222
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• 2007

This study aimed to investigate leisure activity of the elderly, focused on the elderly education. Two hundred thirty nine elderly persons in the region of Cheongju were selected, and questionnaire was utilized for collecting data. As statistical methods, frequency, %, crosstabs analysis with spsswin was used. Five principle results emerged from this study. First, the elderly education was based on law of welfare of the aged and law of life long education. Second, the elderly education programs consist of four subcategories- intellectual, emotional, social, physical subcategories. Third, many of the elderly participated in physical subcategories. Fourth, the levels of elderly participating in leisure activity was relatively high and differed significantly according to age, time level and cause of participating in leisure activity. Fifth, they were segmented into eight groups by level of education, health and economic status. Among them, the group of positive attitudes and participated on elderly education was more likely to be higher level of education, health and economic status. Based on the results of this study, participating elderly education provides solution of problem and self development for the elderly. In order to prepare Korean society for the aged society, the government need to offer a basis on law and policy for the elderly education, as well as program the elderly education.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.257-264
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• 2005

The number of vehicles are rapidly increased as our society is developed. The vehicle recognition has been studied for a while because many people acknowledged it has critical functions to solve the problems of traffic control or vehicle-related crimes. In this paper a novel method is proposed to recognize vehicle models corresponding makers. Vehicles' models are recognized based on the texture parameters from segmented radiator region above a number plate. A three-layer neural network was built and trained with the texture features for recognition. The proposed method shows $93.7\%$ of recognition rate and $99.7\%$ of specificity for vehicles' model.

• Journal of Biomedical Engineering Research
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• v.15 no.4
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• pp.419-427
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• 1994

A new method of digital image analysis technique for discrimination of cancer cell was presented in this paper. The object image was the Thyroid Gland cells image that was diagnosed as normal and abnormal (two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. By using the proposed region segmentation algorithm, the cells were segmented into nucleus. The 16 feature parameters were used to calculate the features of each nucleus. As a consequence of using dominant feature parameters method proposed in this paper, discrimination rate of 91.11 % was obtained for Thyroid Gland cells.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.12
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• pp.3274-3292
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• 2013

Unsupervised methods for image segmentation are recently drawing attention because most images do not have labels or tags. A topic model is such an unsupervised probabilistic method that captures latent aspects of data, where each latent aspect, or a topic, is associated with one homogeneous region. The results of topic models, however, usually have noises, which decreases the overall segmentation performance. In this paper, to improve the performance of image segmentation using topic models, we propose two topic masks applicable to topic assignments of homogeneous regions obtained from topic models. The topic masks capture the noises among the assigned topic assignments or topic labels, and remove the noises by replacements, just like image masks for pixels. However, as the nature of topic assignments is different from image pixels, the topic masks have properties that are different from the existing image masks for pixels. There are two contributions of this paper. First, the topic masks can be used to reduce the noises of topic assignments obtained from topic models for image segmentation tasks. Second, we test the effectiveness of the topic masks by applying them to segmented images obtained from the Latent Dirichlet Allocation model and the Spatial Latent Dirichlet Allocation model upon the MSRC image dataset. The empirical results show that one of the masks successfully reduces the topic noises.

• 한국지형공간정보학회:학술대회논문집
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• 2002.11a
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• pp.133-140
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• 2002

This paper presents a method for line segment grouping used for detection of various building roofs. First, by using edge preserving filtering. noise is eliminated and then images are segmented by watershed algorithm, which preserves location of edge pixels. To extract line segments between control points from boundary of each region, we calculate curvature of each pixel on the boundary and then find the control points. Line linking is performed according to direction and length of line segments and finally the location of line segments is adjusted using gradient magnitudes of all pixels of the line segment. The algorithm has been applied to aerial imagery and the results show accurate building roof detection.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.2
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• pp.22-29
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• 2002

This paper presents an algorithm for segmentation of 3D triangular mesh data. The proposed algorithm uses iterative merging of adjacent triangle pairs based on the orientation of triangles. The surface is segmented into patches, where each patch has a similar normal property Thus, each region can be approximated to planar patch and its boundaries have perceptually important geometric information of the entire mesh model. The experimental results show that the Proposed algorithm is peformed efficiently.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.828-831
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• 2005

In this paper we propose a method to detect human faces from color image using pupil-template matching. Face detection is done by three stages. (i)separating skin regions from non-skin regions; (ii)generating a face regions by application of the best-fit ellipse; (iii)detecting face by pupil-template. Detecting skin regions is based on a skin color model. we generate a gray scale image from original image by the skin model. The gray scale image is segmented to separated skin regions from non-skin regions. Face region is generated by application of the best-fit ellipse is computed on the base of moments. Generated face regions are matched by pupil-template. And we detection face.

• The KIPS Transactions:PartB
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• v.18B no.3
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• pp.109-116
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• 2011

In this paper, we introduce non-touch style interface system technology without any touch style controlling mechanism, which is called as "Air-interface". To develop this system, we used the full reflection principle of infrared (IR) light and then user's hand is separated from the background with the obtained image at every frame. The segmented hand region at every frame is used as input data for an hand-motion recognition module, and the hand-motion recognition module performs a suitable control event that has been mapped into the specified hand-motion through verifying the hand-motion. In this paper, we introduce some developed and suggested methods for image processing and hand-motion recognition. The developed air-touch technology will be very useful for advertizement panel, entertainment presentation system, kiosk system and so many applications.