• Journal of the Korean Society of Food Culture
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• v.12 no.5
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• pp.477-493
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• 1997

The consumers' purchase experiences of some imported agricultural products (rice, sesame, garlic, onion, jujube, red pepper, oak mushroom, apple, dried persimmon) and their consciousness for the labelling of the country of origin for agricultural products in Youngnam region were examined in this study. The sample consisted of 438 women who lived in Taegu, Pusan and other cities of Kyungpook and Kyungnam, and the self-administered questionnaire for the survey was used. The main reasons to purchase the imported agricultural products were the wide distribution and low price of them. Most of the consumers were concerned about safety of the imported agricultural products but only a few people experienced unsatisfaction of the products. The price, quality, package, container, label, and safety of the examined products were evaluated worse than those of the domestic products. Generally, although they suffered unsatisfaction, the consumers did not complain because they wanted to avoid troublesome work, which means the consumers did not assert their rights. Some people did not know the labelling system for the country of origin and the place to charge the market violating it. Therefore, it will be necessary for the consumers to receive education about the labelling system for the country of origin and the compensation criteria for consumers' grievances and damages. The current labelling method for the country of origin generally met the consumers' preference but the consumers wanted to improve the position and color of the label. Most consumers could not differentiate the imported products from the domestic products. The results obtained from the survey suggest consumer education for the labelling system for the country of origin and the compensation criteria should be activated through various ways such as mass media and consumer organizations.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.1243-1253
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• 1993

Visual features of a mushroom(Lentinus Edodes L) are critical in sorting and grading as most agricultural products are. Because of its complex and various visual features, grading and sorting of mushrooms have been done manually by the human expert. Though actions involved in human grading looks simple, a decision making undereath the simple action comes form the results of the complex neural processing of the visual image. And processing details involved in the visual recognition of the human brain has not been fully investigated yet. Recently, however, an artificial neural network has drawn a great attention because of its functional capability as a partial substitute of the human brain. Since most agricultural products are not uniquely defined in its physical properties and do not have a well defined job structure, a research of the neuro-net based human like information processing toward the agricultural product and processing are widely open and promising. In this pape , neuro-net based grading and sorting system was developed for a mushroom . A computer vision system was utilized for extracting and quantifying the qualitative visual features of sampled mushrooms. The extracted visual features and their corresponding grades were used as input/output pairs for training the neural network and the trained results of the network were presented . The computer vision system used is composed of the IBM PC compatible 386DX, ITEX PFG frame grabber, B/W CCD camera , VGA color graphic monitor , and image output RGB monitor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.655-661
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• 2017

It is a very important task to extract character regions contained in various input color images, because characters can provide significant information representing the content of an image. In this paper, we propose a new method for extracting character regions from various input images using MCT features and an AdaBoost algorithm. Using geometric features, the method extracts actual character regions by filtering out non-character regions from among candidate regions. Experimental results show that the suggested algorithm accurately extracts character regions from input images. We expect the suggested algorithm will be useful in multimedia and image processing-related applications, such as store signboard detection and car license plate recognition.

• Journal of KIISE:Software and Applications
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• v.37 no.1
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• pp.80-84
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• 2010

Tracking hands is an essential technique for hand gesture recognition which is an efficient way in Human Computer Interaction (HCI). Recently, many researchers have focused on hands tracking using a 3D hand model and showed robust tracking results compared to using 2D hand models. In this paper, we propose a novel 3D hand tracking method based on a coupled particle filter. This provides robust and fast tracking results by estimating each part of global hand poses and local finger motions separately and then utilizing the estimated results as a prior for each other. Furthermore, in order to improve the robustness, we apply a multi-cue based method by integrating a color-based area matching method and an edge-based distance matching method. In our experiments, the proposed method showed robust tracking results for complex hand motions in a cluttered background.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.300-311
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• 2014

According to fast change of the environment, the structured study of the ecosystem by analyzing the plant leaves are needed. Expecially, the methodology that searches and classifies the leaves from captured from the smart device have received numerous concerns in the field of computer science and ecology. In this paper, we propose a plant leaf classification technique using shape descriptor by combining Scale Invarinat Feature Transform (SIFT) and Histogram of Oriented Gradient (HOG) from the image segmented from the background via Graphcut algorithm. The shape descriptor is coded in the field of Locality-constrained Linear Coding to optimize the meaningful features from a high degree of freedom. It is connected to Support Vector Machines (SVM) for efficient classification. The experimental results show that our proposed approach is very efficient to classify the leaves which have similar color, and shape.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2355-2362
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• 2016

Seg fog removal is an important issue concerned by both computer vision and image processing. Sea fog or haze removal is widely used in lots of fields, such as automatic control system, CCTV, and image recognition. Color image dehazing techniques have been extensively studied, and expecially the dark channel prior(DCP) technique has been widely used. This paper propose a fast and efficient image prior - dark channel prior to remove seg-fog from a single digital image based on the GPU. We implement the basic parallel program and then optimize it to obtain performance acceleration with more than 250 times. While paralleling and the optimizing the algorithm, we improve some parts of the original serial program or basic parallel program according to the characteristics of several steps. The proposed GPU programming algorithm and implementation results may be used with advantages as pre-processing in many systems, such as safe navigation for ship, topographical survey, intelligent vehicles, etc.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.3051-3056
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• 2015

Background: Skin self-examination (SSE) may facilitate early diagnosis of melanoma at a potentially curable stage. Little data are available concerning the SSE frequency and knowledge about the symptoms of melanoma in non-patient populations. The aim of our study was to assess the performance of skin self-examination, recognition of potential melanoma symptoms as well as behavior related to sun exposure among web users in Poland. Materials and Methods: A cross-sectional study was conducted among readers of a scientific portal. Invited respondents were asked to complete an online questionnaire. Finally, statistical analysis was conducted on 4,919 surveys towards potential clinical signs of melanoma and SSE performance. Results: Approximately 60% of respondents had ever performed SSE in their life. Only 18.4 % declared performance on a regular, monthly, basis. Factors promoting this activity were established to be bigger place of residence, higher education and sensitive skin phototype, higher level of knowledge concerning melanoma, safe tanning rules and, especially, past surgical excision of naevi. Declared longer use of tanning beds was linked to understanding better the importance of clinical features of melanoma. Awareness of hazardous behavior during sunbathing is associated with the attempts to change them. Conclusions: Regular SSE is not a common practice, whilst the knowledge about the clinical features of melanoma is varied. Therefore, constant pressure should be put on promotion of regular skin self-examination and teaching its proper techniques, including familiarity with the ABCD (asymmetry; border; color; diameter) rule and its extension of "EFG" (elevated, firm, progressive growth) criteria.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.449-455
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• 2014

Detection of moving objects is a fundamental task in most of the computer vision applications, such as video surveillance, activity recognition and human motion analysis. This is a difficult task due to many challenges in realistic scenarios which include irregular motion in background, illumination changes, objects cast shadows, changes in scene geometry and noise, etc. In this paper, we propose an foreground extraction algorithm based on codebook, a database of information about background pixel obtained from input image sequence. Initially, we suppose a first frame as a background image and calculate difference between next input image and it to detect moving objects. The resulting difference image may contain noises as well as pure moving objects. Second, we investigate a codebook with color and brightness of a foreground pixel in the difference image. If it is matched, it is decided as a fault detected pixel and deleted from foreground. Finally, a background image is updated to process next input frame iteratively. Some pixels are estimated by input image if they are detected as background pixels. The others are duplicated from the previous background image. We apply out algorithm to PETS2009 data and compare the results with those of GMM and standard codebook algorithms.

• Journal of Environmental Health Sciences
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• v.39 no.6
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• pp.505-512
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• 2013

Objectives: Ultraviolet (UV) radiation may cause skin cancer, photo-ageing, erythema, and sunburn. Benzophenone (BP) is commonly used to protect skin from UV radiation. In Korea, sunscreen, sunblock, socalled 'blemish balm' (BB) and 'color correcting' (CC) creams, and foundation may contain from 0.5 to 5% benzophenone in order to protect skin from UV radiation. The purpose of this study is to understand the levels of benzophenone derivatives in urine among a group of university students and identify the contribution of cosmetics use. Methods: Forty volunteers (20 women and 20 men) were asked about skin type, frequency of use of cosmetics, and recognition of related health effects, etc. in a survey. Subjects were divided into several subgroups and were compared for concentration of benzophenone-1 (BP-1) and benzophenone-3 (BP-3). Their urine was pretreated with enzyme hydrolysis and solid phase extraction. Determinations of BP-1 and BP-3 in the urine were made with LC-MS/MS. Results: Among the study subjects, 82.5% used basic cosmetics at least once per day, and 77.5% used sunscreens at least once per day. The concentrations of BP-1 and BP-3 of the males were 4.36 ng/mL and 9.16 ng/mL, respectively. Those of the females were 3.98 ng/mL and 5.07 ng/mL, respectively. The use of cosmetics was positively related to urinary benzophenone levels. Conclusions: BP-1 and BP-3 were widely detected among the university students. Cosmetic use was identified as a potential source. Implications of such exposure deserve further investigation.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.2
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• pp.137-149
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• 2020

The purpose of this study is to identify the perception of New-Hanbok Skirts that female consumers have and to analyze the design preference based on the analysis of designs of skirt products currently in distribution. Based on the analysis of the New-Hanbok brand website, the research was conducted through a survey of 355 women in their 20s and older. The survey consisted of 24 questions which were divided into pattern, color, material, and recognition type questions. The research results are as follows. First, most adult women answered that a New-Hanbok skirt is appropriate to wear at a holiday, anniversary, or outer dress for the spring and autumn seasons, and the design is the most important thing when considering buying. However, the ratios of wearing experience and possession were very low. Second, the preferred design aspects of a New-Hanbok skirt were the Jarak-skirt or Deot-skirt, calf-length, 5cm width of the waistband, 3cm uniform crease, a normal length waistband, bright neutral colors, and a waistband in different colors. For the double skirt, the design that shows 4cm of lining fabric and the different colors of upper fabric was the most preferred. The most preferred material was plain cotton. On the other hand, small floral patterns were preferred for patterned materials, and opaque upper fabric was most preferred for the double skirt. Through this study, it was confirmed that the Hanbok is seen as a positive aspect for modern consumers.