• Korean Journal of Remote Sensing
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• v.28 no.6
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• pp.653-660
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• 2012

This study classified paddy fields according to rice varieties and monitored temporal changes in rice growth using SAR backscatter coefficients (${\sigma}^{\circ}$). A growing period time-series of backscatter coefficients was set up for nine fine-beam mode RADARSAT-1 SAR images from April to October 2005. The images were compared with field-measured rice growth parameters such as leaf area index (LAI), plant height, fresh and dry biomass, and water content in grain and plants for 45 parcels in Dangjin-gun, Chungnam Province, South Korea. The average backscatter coefficients for early-maturing rice varieties (13 parcels) ranged from -18.17 dB to -6.06 dB and were lower than those for medium-late maturing rice varieties during most of the growing season. Both crops showed the highest backscatter coefficient values at the heading stage (late July) for early-maturing rice, and the difference was greatest before harvest for early-maturing rice. The temporal difference in backscatter coefficients between rice varieties may play a key role in identifying early-maturing rice fields. On the other hand, comparisons with field-measured parameters of rice growth showed that backscatter coefficients decreased or remained on a plateau after the heading stage, even though the growth of the rice canopy had advanced.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.93-98
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• 2023

Instagram is one of the fastest-growing online photo social web services where users share their life images and videos with other users. Image tagging is an essential step for developing Automatic Image Annotation (AIA) methods that are based on the learning by example paradigm. Hashtags can be used on just about any social media platform, but they're most popular on Twitter and Instagram. Using hashtags is essentially a way to group together conversations or content around a certain topic, making it easy for people to find content that interests them. Practically on average, 20% of the Instagram hashtags are related to the actual visual content of the image they accompany, i.e., they are descriptive hashtags, while there are many irrelevant hashtags, i.e., stophashtags, that are used across totally different images just for gathering clicks and for search ability enhancement. Hence in this work, Sorting instagram hashtags all the way through mass tagging using HITS (Hyperlink-Induced Topic Search) algorithm is presented. The hashtags can sorted to several groups according to Jensen-Shannon divergence between any two hashtags. This approach provides an effective and consistent way for finding pairs of Instagram images and hashtags, which lead to representative and noise-free training sets for content-based image retrieval. The HITS algorithm is first used to rank the annotators in terms of their effectiveness in the crowd tagging task and then to identify the right hashtags per image.

• English & American cultural studies
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• v.13 no.1
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• pp.83-103
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• 2013

This paper focuses on the function of suicidal images in the history of art including literature. Death has been romanticized or repoliticized into an existential act of defiance and rebellion in literary works, so questions remain about the correlation between literary suicide and the essence of suicide. Although Jacques Ranciere insists that the order of art contrasts with the order of common people whose acts and gestures can express either their specific purposes nor the rationalities of their frustration, literary suicide reflects the outside life of readers. In fact, images of suicide produces the order of things about the real world. William Shakespeare's Hamlet handled two oppositional self-murder significantly. As Ron M. Brown pointed out, Hamlet, by choosing confrontation, seeks out an end which is voluntary, thus he avoids self-destruction and feels triumph of heroic fashion. Ophelia's self-chosen death stems from loss, frailty and the disintegration of reason, which demeans the act and diminishes her from the tragic to the pathetic(16). In the $19^{th}$ century, the resurrection of Ophelia acted as the context for later periods where life itself is fictionalized from the differing periods of network of signifier and texts. Finally, in Ophelia's case, fiction became life(Brown 285). Her suicidal image was fixed in the Victorian Culture whose visual discourse was strikingly similar to that of the men. Likewise, the ambiguities of the suicide became intertwined with the social, cultural issues of a certain period, and the paradigm of suicide was conformed to the changing needs of successive generations. However, if literary art understands that a European culture grappled with the almost impossible task and coming to terms with this strangest and most persistent of phenomena, it will be able to focus on of the multi-layered suicide by recognizing the inherent instability of the verbal sign which cannot reveal the design and grammar of truth.

• Archives of Craniofacial Surgery
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• v.16 no.1
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• pp.1-10
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• 2015

Facial symmetry is an important component of attractiveness. However, functional symmetry is favorable to aesthetic symmetry. In addition, fluctuating asymmetry is more natural and common, even if patients find such asymmetry to be noticeable. However, fluctuating asymmetry remains difficult to define. Several studies have shown that a certain level of asymmetry could generate an unfavorable image. A natural profile is favorable to perfect mirror-image profile, and images with canting and differences less than $3^{\circ}-4^{\circ}$ and 3-4 mm, respectively, are generally not recognized as asymmetry. In this study, a questionnaire survey among 434 medical students was used to evaluate photos of Asian women. The students preferred original images over mirror images. Facial asymmetry was noticed when the canting and difference were more than $3^{\circ}$ and 3 mm, respectively. When a certain level of asymmetry is recognizable, correcting it can help to improve social life and human relationships. Prior to any operation, the anatomical component for noticeable asymmetry should be understood, which can be divided into hard tissues and soft tissue. For diagnosis, two-and three-dimensional (3D) photogrammetry and radiometry are used, including photography, laser scanner, cephalometry, and 3D computed tomography.

• Imaging Science in Dentistry
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• v.41 no.2
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• pp.71-78
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• 2011

Purpose : This study was performed to determine the optimal tile size for the fractal dimension of the mandibular trabecular bone using a tile counting method. Materials and Methods : Digital intraoral radiographic images were obtained at the mandibular angle, molar, premolar, and incisor regions of 29 human dry mandibles. After preprocessing, the parameters representing morphometric characteristics of the trabecular bone were calculated. The fractal dimensions of the processed images were analyzed in various tile sizes by the tile counting method. Results : The optimal range of tile size was 0.132 mm to 0.396 mm for the fractal dimension using the tile counting method. The sizes were closely related to the morphometric parameters. Conclusion : The fractal dimension of mandibular trabecular bone, as calculated with the tile counting method, can be best characterized with a range of tile sizes from 0.132 to 0.396 mm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.6
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• pp.1234-1240
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• 2009

Culture is not only a factor of a life worthy of man, but also that of beauty and fluency of life,so it works as a key to show differences in the quality of life. Paying attention to culture, which plays a role to create new things, is a source of high-added value. The term of cultural contents was derived in21C, combining digital skills with art. We are going to reconstruct and develope cultural properties such as remains, pottery, pictures, as a way of restoration for cultural contents with the view of reinterpretation. In this paper, we reinterpreted the pictures which were based on three particular elements in Chosun Dinasty- poetry, handwriting, and picture, and we produced 3D objects after analyzing texts and images in multimedia works applied with source pictures. As a highlighted method of restoration for cultural contents, we produced the work which can be interacted and has three dimensional objects getting out of appreciating of plane images. We presented a method of informing our culture with 3D Mong-yu-do-won-do, which used traditional paintings by being improved user friendliness and accessibility.

• Journal of Biosystems Engineering
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• v.36 no.1
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• pp.48-57
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• 2011

The computer vision system was designed and constructed to measure the weight of a dairy cattle. Its development involved the functions of image capture, image preprocessing, image algorithm, and control integrated into one program. The experiments were conducted with the model dairy cattle and the real dairy cattle by two ways. First experiment with the model dairy cattle was conducted by using the indoor vision experimental system, which was built to measure the model dairy cattle in the laboratory. Second experiment with real dairy cattle was conducted by using the outdoor vision experimental system, which was built for measuring 229 heads of cows in the cattle facilities. This vision system proved to a reliable system by conducting their performance test with 15 heads of real cow in the cattle facilities. Indirect weight measuring with four methods were conducted by using the image processing system, which was the same system for measuring of body parameters. Error value of transform equation using chest girth was 30%. This error was seen as the cause of accumulated error by manually measurement. So it was not appropriate to estimate cow weight by using the transform equation, which was calculated from pixel values of the chest girth. Measurement of cow weight by multiple regression equation from top and side view images has relatively less error value, 5%. When cow weight was measured indirectly by image surface area from the pixel of top and side view images, maximum error value was 11.7%. When measured cow weight by image volume, maximum error weight was 57 kg. Generally, weight error was within 30 kg but maximum error 10.7%. Volume transform method, out of 4 measuring weight methods, was minimum error weight 21.8 kg.

• Journal of Fashion Business
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• v.9 no.3
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• pp.8-21
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• 2005

The purpose at this study was to analyze and to position the clothing images at women's formal wear brands carried by at least two department stores in Daejon, for providing data for a basic marketing strategy for fashion manufacturers and distributors. The results tram the study were as tallows; The brand that showed the highest classic image was 'BCBG'(83.6%), the brand that showed the highest feminine image was 'Obzee' (80.2%), the brand that showed the highest character image was 'Doho' (84.1%), and the brand that showed the highest mannish image was 'F.Station' (64.1%). On the brands image positioning map, brands, such as 'Deco', 'Mine', 'Time', and 'Anne Klein', lying on or near the point of intersection (where the vertical and horizontal axes meet) showed 4 types. They were 'smart & chic cluster', 'charming & luxury cluster', 'character elegance cluster', and 'sportive elegance cluster' that showed compound images. These clusters would be differentiated tram young casual lines by emphasizing the brands' shape and cut, higher quality fabrics and materials, and elegant and graceful colors. Analysis of target ages and tweed jacket prices for brands carried by at least two department stores showed that the target was between 23 and 50, and that the prices range from 198,000 won to 460,000 won.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.273-294
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• 2012

Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

• Korean Circulation Journal
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• v.54 no.1
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• pp.30-39
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• 2024

Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.