• Title/Summary/Keyword: traditional image

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The Intelligence APP development for children's Kanji character education using Block and Stop motion

  • Jung, Sugkyu
    • International journal of advanced smart convergence
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    • v.5 no.2
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    • pp.66-72
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    • 2016
  • With the growing shift from traditional educational approaches and studying to the more digital classroom, using electronic textbooks and digital native's demand, there is a growing need to develop new methods for learn Kanji characters for children. The purpose of this study is to help children learn the basic Kanji by using stop motion and block methods, and approaching the basic Kanji character education with a more innovative and interactive smart phone APP. In the development of this smart phone App for children's Kanji character education proposed in this study, 100 basic Kanji characters for children are selected. These 100 characters are required for the stop motion animation production, where each selected Kanji is created as a stop-motion animation utilizing a variety of techniques, such as storytelling, to better engage children. The intelligent App is designed with image recognition technology, so that in the learning process children take a picture for the assembled block using their smart phone, the APP then recognizes whether it is assembled correctly, and then plays an animation corresponding to the assembled Kanji character.

Image-guided surgery and craniofacial applications: mastering the unseen

  • Wang, James C.;Nagy, Laszlo;Demke, Joshua C.
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.37
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    • pp.43.1-43.5
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    • 2015
  • Image-guided surgery potentially enhances intraoperative safety and outcomes in a variety of craniomaxillofacial procedures. We explore the efficiency of one intraoperative navigation system in a single complex craniofacial case, review the initial and recurring costs, and estimate the added cost (e.g., additional setup time, registration). We discuss the potential challenges and benefits of utilizing image-guided surgery in our specific case and its benefits in terms of educational and teaching purposes and compare this with traditional osteotomies that rely on a surgeon's thorough understanding of anatomy coupled with tactile feedback to blindly guide the osteotome during surgery. A 13-year-old presented with untreated syndromic multi-suture synostosis, brachycephaly, severe exorbitism, and midface hypoplasia. For now, initial costs are high, recurring costs are relatively low, and there are perceived benefits of imaged-guided surgery as an excellent teaching tool for visualizing difficult and often unseen anatomy through computerized software and multi-planar real-time images.

STREAM PATTERN GENERATION USING PDE BY CONSIDERING VISCOSITY

  • Shimokubo, Yoshiaki;Zhang, Xiaohua
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.529-534
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    • 2009
  • This paper reports a non-photorealistic rendering method for creating stream pattern from an input image. Our method extracts potential stream pattern in the given image. The proposed approach uses a shock filter based on a partial difference equation(PDE) which is implemented by applying a selective dilation and erosion processes. However, unlike the traditional first order solution to the PDE, we employ a second order scheme and compensate for the undesired diffusive effects caused by a viscosity form. The selection of dilation or erosion for a pixel is based on an edge detector computed from a structure tensor. By adding noises on to the input image, our method also can generate stream pattern even if there is less texture in some area. The experimental results show that the stream pattern is extracted very well.

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Retrieval of video images based on Co-occurrence matrix (Co-occurrence matrix 기반 비데오 영상 검색)

  • 김규헌;정세윤;전병태;이재연;배영래
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.482-484
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    • 1998
  • Abstract : Multimedia data now one of the widely used information in all the fields as the fast developments of computer techniques have been made. Traditional database systems based on textual information have limitations when applied to multimedia information. This is because simple textual descriptions are ambiguous and inadequate for searching multimedia information for multimedia databases and digital libraries. Thus, especially for image data, which is one of the important multimedia information types, which can retrieve and browse image data on the basis of pictorial queries. Therefore, this paper presents an efficient method for describing texture information in image data.

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Features Extraction of Remote Sensed Multispectral Image Data Using Rough Sets Theory (Rough 집합 이론을 이용한 원격 탐사 다중 분광 이미지 데이터의 특징 추출)

  • 원성현;정환묵
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.3
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    • pp.16-25
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    • 1998
  • In this paper, we propose features extraction method using Rough sets theory for efficient data classifications in hyperspectral environment. First, analyze the properties of multispectral image data, then select the most efficient bands using discemibility of Rough sets theory based on analysis results. The proposed method is applied Landsat TM image data, from this, we verify the equivalence of traditional bands selection method by band features and bands selection method using Rough sets theory that pmposed in this paper. Finally, we present theoretical basis to features extraction in hyperspectral environment.

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QUANTIFICATION OF COW′S BODY PARAMETERS USING COMPUTER VISION

  • Lee, D. W.;Kim, H. T.;Kim, Y. S.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.344-353
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    • 2000
  • Recent mechatronics technology is the most appropriate high technology in the agricultural application to save repetitious labor. Cow's body parameters were measured by traditional several measurer. Image processing technology was used to measure automatically their parameters to reduce lots of labor and time. The parameters were measured form a small model cow, which is easily measured, instead to a real cow. The image processing system designed and built for this project was composed of a Pentium PC, and TV frame card two cameras which were located on side and top of model cow. 11 parameters of cow's body were measured and the error between real data and the data by image processing was less than 10%. Based on the results of this research the parameters of a real cow could be measured in the future.

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Adaptive Active Contour Model: a Localized Mutual Information Approach for Medical Image Segmentation

  • Dai, Shuanglu;Zhan, Shu;Song, Ning
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.5
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    • pp.1840-1855
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    • 2015
  • Troubles are often met when traditional active contours extract boundaries of medical images with inhomogeneous bias and various noises. Focusing on such a circumstance, a localized mutual information active contour model is discussed in the paper. By defining neighborhood of each point on the level set, mutual information is introduced to describe the relationship between the zero level set and image field. A driving energy term is then generated by integrating all the information. In addition, an expanding energy and internal energy are designed to regularize the driving energy. Contrary to piecewise constant model, new model has a better command of driving the contours without initialization.

Areal Image Clustering using SOM with 2 Phase Learning (SOM의 2단계학습을 이용한 항공영상 클러스터링)

  • Lee, Kyunghee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.995-998
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    • 2013
  • Aerial imaging is one of the most common and versatile ways of obtaining information from the Earth surface. In this paper, we present an approach by SOM(Self Organization Map) algorithm with 2 phase learning to be applied successfully to aerial images clustering due to its signal-to-noise independency. A comparison with other classical method, such as K-means and traditional SOM, of real-world areal image clustering demonstrates the efficacy of our approach.

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An Implementation of Laser image drawing with the uiversal joint (유니버셜 관절을 이용한 2차원 레이저 영상 구현)

  • Kim, Jong-Koul;Kim, Tae-Kagn;Lee, Keon-Young
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2705-2707
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    • 2000
  • The branch of the laser imaging has implemented 3D graphics, color graphics and video images after it drew a simple image by development the salvo's X-Y scanner in 1960 year. Now it is used as the multimedia show of an event and an advertisement. The latest issue of laserist is the ability to generate laser images with the same ease and speed associated with traditional computer graphics. All laser projector used in the interior of a countris was imported from other country. The most important component of the laser projector is the speed and the accuracy of a actuator and the software which actuates the controller on computer. In this paper we developed the controller with a universal joint and the PC based user interface software in order to implement the laser image of two dimension, and will prepare the base of beginning the home laser projector

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Dividing Occluded Humans Based on an Artificial Neural Network for the Vision of a Surveillance Robot (감시용 로봇의 시각을 위한 인공 신경망 기반 겹친 사람의 구분)

  • Do, Yong-Tae
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.505-510
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    • 2009
  • In recent years the space where a robot works has been expanding to the human space unlike traditional industrial robots that work only at fixed positions apart from humans. A human in the recent situation may be the owner of a robot or the target in a robotic application. This paper deals with the latter case; when a robot vision system is employed to monitor humans for a surveillance application, each person in a scene needs to be identified. Humans, however, often move together, and occlusions between them occur frequently. Although this problem has not been seriously tackled in relevant literature, it brings difficulty into later image analysis steps such as tracking and scene understanding. In this paper, a probabilistic neural network is employed to learn the patterns of the best dividing position along the top pixels of an image region of partly occlude people. As this method uses only shape information from an image, it is simple and can be implemented in real time.